Zidong Wang

Orcid: 0000-0002-9576-7401

Affiliations:
  • Brunel University, Department of Computer Science, Uxbridge, UK
  • King Abdulaziz University, Faculty of Engineering, Jeddah, Saudi Arabia (former)
  • Nanjing University of Science and Technology, China (PhD 1994)


According to our database1, Zidong Wang authored at least 792 papers between 1997 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2014, "For contributions to networked control and complex networks".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Distributed Filter Design Over Sensor Networks Under Try-Once-Discard Protocol: Dealing With Sensor-Bias-Corrupted Measurement Censoring.
IEEE Trans. Syst. Man Cybern. Syst., May, 2024

Privacy-Preserving Distributed Economic Dispatch of Microgrids Using Edge-Based Additive Perturbations: An Accelerated Consensus Algorithm.
IEEE Trans. Syst. Man Cybern. Syst., May, 2024

Zonotopic non-fragile set-membership fusion estimation for nonlinear systems under sensor resolution effects: Boundedness and monotonicity.
Inf. Fusion, May, 2024

Dynamic Event-Triggered Quadratic Nonfragile Filtering for Non-Gaussian Systems: Tackling Multiplicative Noises and Missing Measurements.
IEEE CAA J. Autom. Sinica, May, 2024

Pseudo Gradient-Adjusted Particle Swarm Optimization for Accurate Adaptive Latent Factor Analysis.
IEEE Trans. Syst. Man Cybern. Syst., April, 2024

Sequential Fusion Estimation for Multirate Complex Networks With Uniform Quantization: A Zonotopic Set-Membership Approach.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

Support-Sample-Assisted Domain Generalization via Attacks and Defenses: Concepts, Algorithms, and Applications to Pipeline Fault Diagnosis.
IEEE Trans. Ind. Informatics, April, 2024

Quantized Distributed Economic Dispatch for Microgrids: Paillier Encryption-Decryption Scheme.
IEEE Trans. Ind. Informatics, April, 2024

Observer-Based Fuzzy PID Tracking Control Under Try-Once-Discard Communication Protocol: An Affine Fuzzy Model Approach.
IEEE Trans. Fuzzy Syst., April, 2024

On H<sub>∞</sub> Fuzzy Proportional-Integral Observer Design Under Amplify-and-Forward Relays and Multirate Measurements.
IEEE Trans. Fuzzy Syst., April, 2024

Electrode Domain Adaptation Network: Minimizing the Difference Across Electrodes in Single-Source to Single-Target Motor Imagery Classification.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

A Novel Dynamic Multiobjective Optimization Algorithm With Hierarchical Response System.
IEEE Trans. Comput. Soc. Syst., April, 2024

A New Particle Swarm Optimization Algorithm for Outlier Detection: Industrial Data Clustering in Wire Arc Additive Manufacturing.
IEEE Trans Autom. Sci. Eng., April, 2024

Particle-Filter-Based State Estimation for Delayed Artificial Neural Networks: When Probabilistic Saturation Constraints Meet Redundant Channels.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Kernel Adaptive Filtering Over Complex Networks.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Privacy-Preserving Distributed Economic Dispatch of Microgrids Over Directed Networks via State Decomposition: A Fast Consensus Algorithm.
IEEE Trans. Ind. Informatics, March, 2024

KD-PAR: A knowledge distillation-based pedestrian attribute recognition model with multi-label mixed feature learning network.
Expert Syst. Appl., March, 2024

A lightweight surface defect detection framework combined with dual-domain attention mechanism.
Expert Syst. Appl., March, 2024

Subdomain-Alignment Data Augmentation for Pipeline Fault Diagnosis: An Adversarial Self-Attention Network.
IEEE Trans. Ind. Informatics, February, 2024

ELTS-Net: An enhanced liver tumor segmentation network with augmented receptive field and global contextual information.
Comput. Biol. Medicine, February, 2024

EEGProgress: A fast and lightweight progressive convolution architecture for EEG classification.
Comput. Biol. Medicine, February, 2024

Secure Particle Filtering With Paillier Encryption-Decryption Scheme: Application to Multi-Machine Power Grids.
IEEE Trans. Smart Grid, January, 2024

Distributed Proportional-Integral Fuzzy State Estimation Over Sensor Networks Under Energy-Constrained Denial-of-Service Attacks.
IEEE Trans. Cybern., January, 2024

A novel framework for motor bearing fault diagnosis based on multi-transformation domain and multi-source data.
Knowl. Based Syst., January, 2024

Anomaly-Resistant Decentralized State Estimation Under Minimum Error Entropy With Fiducial Points for Wide-Area Power Systems.
IEEE CAA J. Autom. Sinica, January, 2024

A Novel Ensemble-Learning-Based Convolution Neural Network for Handling Imbalanced Data.
Cogn. Comput., January, 2024

A Recursive Matrix Inequality Approach to Distributed Filtering Over Binary Sensor Networks: Handling Amplify-and-Forward Relays.
IEEE Trans. Netw. Sci. Eng., 2024

Solving the Boltzmann Equation with a Neural Sparse Representation.
SIAM J. Sci. Comput., 2024

A Distance Metric Learning Model Based On Variational Information Bottleneck.
CoRR, 2024

PDEformer: Towards a Foundation Model for One-Dimensional Partial Differential Equations.
CoRR, 2024

FiT: Flexible Vision Transformer for Diffusion Model.
CoRR, 2024

2023
Ultimately Bounded PID Control for T-S Fuzzy Systems Under FlexRay Communication Protocol.
IEEE Trans. Fuzzy Syst., December, 2023

Distributed Recursive Filtering Over Sensor Networks Under Random Access Protocol: When State Saturation Meets Censored Measurement.
IEEE Trans. Cybern., December, 2023

Encryption-Decryption-Based State Estimation With Multirate Measurements Against Eavesdroppers: A Recursive Minimum-Variance Approach.
IEEE Trans. Autom. Control., December, 2023

Encoding-decoding-based fusion estimation with filter-and-forward relays and stochastic measurement delays.
Inf. Fusion, December, 2023

Quadratic filtering for discrete time-varying non-Gaussian systems under binary encoding schemes.
Autom., December, 2023

PID Tracking Control Under Multiple Description Encoding Mechanisms.
IEEE Trans. Syst. Man Cybern. Syst., November, 2023

Adaptive Set-Membership State Estimation for Nonlinear Systems Under Bit Rate Allocation Mechanism: A Neural-Network-Based Approach.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Sliding Mode Control for Sampled-Data Systems Subject to Deception Attacks: Handling Randomly Perturbed Sampling Periods.
IEEE Trans. Cybern., November, 2023

Efficient multi-view semi-supervised feature selection.
Inf. Sci., November, 2023

Disturbance-Observer-Based Model Predictive Control for Discrete-Time Noncooperative Game Over Undirected Graph.
IEEE Trans. Syst. Man Cybern. Syst., October, 2023

Co-Design of Dissipative Deconvolution Filter and Round-Robin Protocol for Networked 2-D Digital Systems: Optimization and Application.
IEEE Trans. Syst. Man Cybern. Syst., October, 2023

Partial-Node-Based State Estimation for Delayed Complex Networks Under Intermittent Measurement Outliers: A Multiple-Order-Holder Approach.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Consensus Control for Multiagent Systems Under Asymmetric Actuator Saturations With Applications to Mobile Train Lifting Jack Systems.
IEEE Trans. Ind. Informatics, October, 2023

Security-Guaranteed Fuzzy Networked State Estimation for 2-D Systems With Multiple Sensor Arrays Subject to Deception Attacks.
IEEE Trans. Fuzzy Syst., October, 2023

Differentially Private Average Consensus With Logarithmic Dynamic Encoding-Decoding Scheme.
IEEE Trans. Cybern., October, 2023

Hybrid Nash Equilibrium Seeking Under Partial-Decision Information: An Adaptive Dynamic Event-Triggered Approach.
IEEE Trans. Autom. Control., October, 2023

Stabilization of linear discrete-time systems over resource-constrained networks under dynamical multiple description coding scheme.
Autom., October, 2023

Active fault diagnosis for linear stochastic systems subject to chance constraints.
Autom., October, 2023

Improving greedy local search methods by switching the search space.
Appl. Intell., October, 2023

A Kalman-Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data.
IEEE Trans. Cybern., September, 2023

Influence Maximization in Multiagent Systems by a Graph Embedding Method: Dealing With Probabilistically Unstable Links.
IEEE Trans. Cybern., September, 2023

A unified approach to designing sequence-based personalized food recommendation systems: tackling dynamic user behaviors.
Int. J. Mach. Learn. Cybern., September, 2023

Recursive state estimation for state-saturated systems with two groups of measurements: Handling delayed and degraded sensors.
Inf. Fusion, September, 2023

Moving horizon estimation over relay channels: Dealing with packet losses.
Autom., September, 2023

An Alternating-Direction-Method of Multipliers-Incorporated Approach to Symmetric Non-Negative Latent Factor Analysis.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Bayesian network parameter learning using fuzzy constraints.
Neurocomputing, August, 2023

A swarm optimizer with attention-based particle sampling and learning for large scale optimization.
J. Ambient Intell. Humaniz. Comput., July, 2023

A novel sequential switching quadratic particle swarm optimization scheme with applications to fast tuning of PID controllers.
Inf. Sci., July, 2023

Variance-Constrained Filter Design With Sensor Resolution Under Round-Robin Communication Protocol: An Outlier-Resistant Mechanism.
IEEE Trans. Syst. Man Cybern. Syst., June, 2023

Finite-Horizon $H_{\infty }$ Filtering via a High-Rate Network With the FlexRay Protocol.
IEEE Trans. Autom. Control., June, 2023

Proximal Alternating-Direction-Method-of-Multipliers-Incorporated Nonnegative Latent Factor Analysis.
IEEE CAA J. Autom. Sinica, June, 2023

Progressive attention integration-based multi-scale efficient network for medical imaging analysis with application to COVID-19 diagnosis.
Comput. Biol. Medicine, June, 2023

A component-based coding-decoding approach to set-membership filtering for time-varying systems under constrained bit rate.
Autom., June, 2023

Cluster Synchronization Control for Discrete-Time Complex Dynamical Networks: When Data Transmission Meets Constrained Bit Rate.
IEEE Trans. Neural Networks Learn. Syst., May, 2023

Outlier-Resistant Recursive State Estimation for Renewable-Electricity-Generation-Based Microgrids.
IEEE Trans. Ind. Informatics, May, 2023

Distributed State Estimation Over Wireless Sensor Networks With Energy Harvesting Sensors.
IEEE Trans. Cybern., May, 2023

An evolutionary algorithm with clustering-based selection strategies for multi-objective optimization.
Inf. Sci., May, 2023

Outlier-resistant sequential filtering fusion for cyber-physical systems with quantized measurements under denial-of-service attacks.
Inf. Sci., May, 2023

AA-WGAN: Attention augmented Wasserstein generative adversarial network with application to fundus retinal vessel segmentation.
Comput. Biol. Medicine, May, 2023

A Novel Algorithm for Quantized Particle Filtering With Multiple Degrading Sensors: Degradation Estimation and Target Tracking.
IEEE Trans. Ind. Informatics, April, 2023

Tracking Control Under Round-Robin Scheduling: Handling Impulsive Transmission Outliers.
IEEE Trans. Cybern., April, 2023

Encrypted Finite-Horizon Energy-to-Peak State Estimation for Time-Varying Systems Under Eavesdropping Attacks: Tackling Secrecy Capacity.
IEEE CAA J. Autom. Sinica, April, 2023

Novel Leader-Follower-Based Particle Swarm Optimizer Inspired by Multiagent Systems: Algorithm, Experiments, and Applications.
IEEE Trans. Syst. Man Cybern. Syst., March, 2023

State Estimation for Discrete Time-Delayed Impulsive Neural Networks Under Communication Constraints: A Delay-Range-Dependent Approach.
IEEE Trans. Neural Networks Learn. Syst., March, 2023

Event-Triggered Recursive State Estimation for Stochastic Complex Dynamical Networks Under Hybrid Attacks.
IEEE Trans. Neural Networks Learn. Syst., March, 2023

Distributed Filtering Under Constrained Bit Rate Over Wireless Sensor Networks: Dealing With Bit Rate Allocation Protocol.
IEEE Trans. Autom. Control., March, 2023

Neural-Network-Based Set-Membership Fault Estimation for 2-D Systems Under Encoding-Decoding Mechanism.
IEEE Trans. Neural Networks Learn. Syst., February, 2023

Recursive locally minimum-variance filtering for two-dimensional systems: When dynamic quantization effect meets random sensor failure.
Autom., February, 2023

Eigenvalue-Corrected Natural Gradient Based on a New Approximation.
Asia Pac. J. Oper. Res., February, 2023

Distributed Formation-Containment Control for Discrete-Time Multiagent Systems Under Dynamic Event-Triggered Transmission Scheme.
IEEE Trans. Syst. Man Cybern. Syst., 2023

Recursive Distributed Filtering for Time-Varying Systems Over Sensor Network via Rayleigh Fading Channels: Tackling Binary Measurements.
IEEE Trans. Signal Inf. Process. over Networks, 2023

Neural-Network-Based Secure State Estimation Under Energy-Constrained Denial-of-Service Attacks: An Encoding-Decoding Scheme.
IEEE Trans. Netw. Sci. Eng., 2023

Protocol-Based Particle Filtering for Nonlinear Complex Networks: Handling Non-Gaussian Noises and Measurement Censoring.
IEEE Trans. Netw. Sci. Eng., 2023

Distributed Recursive State Estimation for a Class of Multi-Rate Nonlinear Systems Over Wireless Sensor Networks Under FlexRay Protocols.
IEEE Trans. Netw. Sci. Eng., 2023

Event-Based Joint State and Unknown Input Estimation for Energy Networks: Handling Multi-Machine Power Grids.
IEEE Trans. Netw. Sci. Eng., 2023

Distributed Fusion Filtering for Nonlinear Time-Varying Systems Over Amplify-and-Forward Relay Networks: An $H_{\infty }$ Quantized Framework.
IEEE Trans. Netw. Sci. Eng., 2023

Distributed $H_{\infty }$-Consensus Estimation for Random Parameter Systems Over Binary Sensor Networks: A Local Performance Analysis Method.
IEEE Trans. Netw. Sci. Eng., 2023

Distributed Resilient State Estimation for Cyber-Physical Systems Against Bit Errors: A Zonotopic Set-Membership Approach.
IEEE Trans. Netw. Sci. Eng., 2023

An Overview of Algorithms for Contactless Cardiac Feature Extraction From Radar Signals: Advances and Challenges.
IEEE Trans. Instrum. Meas., 2023

A Novel Local Binary Temporal Convolutional Neural Network for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2023

A Novel Deep Offline-to-Online Transfer Learning Framework for Pipeline Leakage Detection With Small Samples.
IEEE Trans. Instrum. Meas., 2023

Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016.
IEEE Trans. Instrum. Meas., 2023

Distributed Set-Membership Fusion Filtering for Nonlinear 2-D Systems Over Sensor Networks: An Encoding-Decoding Scheme.
IEEE Trans. Cybern., 2023

Proportional-Integral Observer Design for Multirate-Networked Systems Under Constrained Bit Rate: An Encoding-Decoding Mechanism.
IEEE Trans. Cybern., 2023

Resilient Unscented Kalman Filtering Fusion With Dynamic Event-Triggered Scheme: Applications to Multiple Unmanned Aerial Vehicles.
IEEE Trans. Control. Syst. Technol., 2023

Event-Triggered Cost-Guaranteed Control for Linear Repetitive Processes Under Probabilistic Constraints.
IEEE Trans. Autom. Control., 2023

Remote Estimation for Energy Harvesting Systems Under Multiplicative Noises: A Binary Encoding Scheme With Probabilistic Bit Flips.
IEEE Trans. Autom. Control., 2023

A two-stage integrated method for early prediction of remaining useful life of lithium-ion batteries.
Knowl. Based Syst., 2023

A metaheuristic causal discovery method in directed acyclic graphs space.
Knowl. Based Syst., 2023

A novel contrastive adversarial network for minor-class data augmentation: Applications to pipeline fault diagnosis.
Knowl. Based Syst., 2023

Zonotopic multi-sensor fusion estimation with mixed delays under try-once-discard protocol: A set-membership framework.
Inf. Fusion, 2023

Zonotopic distributed fusion for nonlinear networked systems with bit rate constraint.
Inf. Fusion, 2023

Constraint-Induced Symmetric Nonnegative Matrix Factorization for Accurate Community Detection.
Inf. Fusion, 2023

Estimating the State of Health for Lithium-ion Batteries: A Particle Swarm Optimization-Assisted Deep Domain Adaptation Approach.
IEEE CAA J. Autom. Sinica, 2023

Composite Disturbance Filtering: A Novel State Estimation Scheme for Systems With Multi-Source, Heterogeneous, and Isomeric Disturbances.
CoRR, 2023

Learning to simulate partially known spatio-temporal dynamics with trainable difference operators.
CoRR, 2023

Analysis of the Decoder Width for Parametric Partial Differential Equations.
CoRR, 2023

nnUNet RASPP for Retinal OCT Fluid Detection, Segmentation and Generalisation over Variations of Data Sources.
CoRR, 2023

Solving Boltzmann equation with neural sparse representation.
CoRR, 2023

AGGN: Attention-based glioma grading network with multi-scale feature extraction and multi-modal information fusion.
Comput. Biol. Medicine, 2023

Recursive state estimation for stochastic nonlinear non-Gaussian systems using energy-harvesting sensors: A quadratic estimation approach.
Autom., 2023

Decentralized dynamic state estimation for multi-machine power systems with non-Gaussian noises: Outlier detection and localization.
Autom., 2023

An approximate minimum mean-square error estimator for linear discrete time-varying systems: Handling Try-Once-Discard protocol.
Autom., 2023

A dynamic encryption-decryption scheme for replay attack detection in cyber-physical systems.
Autom., 2023

Distributed Recursive Filtering for Time-Varying Systems with Dynamic Bias over Sensor Networks: Tackling Packet Disorders.
Appl. Math. Comput., 2023

Path-KGE: Preference-Aware Knowledge Graph Embedding with Path Semantics for Link Prediction.
Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Analysis of Business Model and Development of Virtual Power Plant in the Context of New Power System.
Proceedings of the IEEE Sustainable Power and Energy Conference, 2023

Partial-Node-Based State Estimation for Complex Networks With Energy Harvesting Sensors.
Proceedings of the 28th International Conference on Automation and Computing, 2023

A Sensor Activation Approach to Energy-Conserving Distributed Kalman Filtering for Wireless Sensor Networks.
Proceedings of the 28th International Conference on Automation and Computing, 2023

Ultimately Bounded State Estimation for Discrete-Time Singularly Perturbed Complex Networks Under Bit Rate Constraints.
Proceedings of the 28th International Conference on Automation and Computing, 2023

Adaptive Rotated Convolution for Rotated Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Retinal Image Segmentation with Small Datasets.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

SPHASE: Multi-Modal and Multi-Branch Surgical Phase Segmentation Framework based on Temporal Convolutional Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Recursive Quadratic Filtering for Linear Discrete Non-Gaussian Systems Over Time-Correlated Fading Channels.
IEEE Trans. Signal Process., 2022

Outlier-Resistant Filtering With Dead-Zone-Like Censoring Under Try-Once-Discard Protocol.
IEEE Trans. Signal Process., 2022

Proportional-Integral Observer Design for Uncertain Time-Delay Systems Subject to Deception Attacks: An Outlier-Resistant Approach.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Recursive Set-Membership State Estimation Over a FlexRay Network.
IEEE Trans. Syst. Man Cybern. Syst., 2022

On State Estimation for Discrete Time-Delayed Memristive Neural Networks Under the WTOD Protocol: A Resilient Set-Membership Approach.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Assimilating Second-Order Information for Building Non-Negative Latent Factor Analysis-Based Recommenders.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Consensus Control of Linear Multiagent Systems Under Actuator Imperfection: When Saturation Meets Fault.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Recursive Distributed Filter Design for 2-D Systems Over Sensor Networks: On Component-Based, Node-Wise and Dynamic Event-Triggered Scheme.
IEEE Trans. Signal Inf. Process. over Networks, 2022

Joint State and Fault Estimation of Complex Networks Under Measurement Saturations and Stochastic Nonlinearities.
IEEE Trans. Signal Inf. Process. over Networks, 2022

Auxiliary Particle Filtering Over Sensor Networks Under Protocols of Amplify-and-Forward and Decode-and-Forward Relays.
IEEE Trans. Signal Inf. Process. over Networks, 2022

A Local Approach to Distributed $H_{\infty }$-Consensus State Estimation Over Sensor Networks Under Hybrid Attacks: Dynamic Event-Triggered Scheme.
IEEE Trans. Signal Inf. Process. over Networks, 2022

Protocol-Based Fusion Estimator Design for State-Saturated Systems With Dead-Zone-Like Censoring Under Deception Attacks.
IEEE Trans. Signal Inf. Process. over Networks, 2022

Event-Triggered Set-Membership State Estimation for Complex Networks: A Zonotopes-Based Method.
IEEE Trans. Netw. Sci. Eng., 2022

A Recursive Algorithm for Secure Filtering for Two-Dimensional State-Saturated Systems Under Network-Based Deception Attacks.
IEEE Trans. Netw. Sci. Eng., 2022

Neural-Network-Based Filtering for A General Class of Nonlinear Systems under Dynamically Bounded Innovations Over Sensor Networks.
IEEE Trans. Netw. Sci. Eng., 2022

Distributed Filtering for Complex Networks Under Multiple Event-Triggered Transmissions Within Node-Wise Communications.
IEEE Trans. Netw. Sci. Eng., 2022

Sensor Fault Estimation for Nonlinear Complex Networks With Time Delays Under Saturated Innovations: A Binary Encoding Scheme.
IEEE Trans. Netw. Sci. Eng., 2022

Finite-Horizon $H_{\infty }$ State Estimation for Discrete Time-Varying Artificial Neural Networks: An Accumulation-Based Event-Triggered Mechanism.
IEEE Trans. Netw. Sci. Eng., 2022

Consensus-Based Distributed State Estimation Over Sensor Networks With Encoding-Decoding Scheme: Accommodating Bandwidth Constraints.
IEEE Trans. Netw. Sci. Eng., 2022

An L<sub>1</sub>-and-L<sub>2</sub>-Norm-Oriented Latent Factor Model for Recommender Systems.
IEEE Trans. Neural Networks Learn. Syst., 2022

Simultaneous State and Unknown Input Estimation for Complex Networks With Redundant Channels Under Dynamic Event-Triggered Mechanisms.
IEEE Trans. Neural Networks Learn. Syst., 2022

H<sub>∞</sub> State Estimation for BAM Neural Networks With Binary Mode Switching and Distributed Leakage Delays Under Periodic Scheduling Protocol.
IEEE Trans. Neural Networks Learn. Syst., 2022

A CRF-Based Framework for Tracklet Inactivation in Online Multi-Object Tracking.
IEEE Trans. Multim., 2022

Position-Transitional Particle Swarm Optimization-Incorporated Latent Factor Analysis.
IEEE Trans. Knowl. Data Eng., 2022

A Small-Sized Object Detection Oriented Multi-Scale Feature Fusion Approach With Application to Defect Detection.
IEEE Trans. Instrum. Meas., 2022

Nonfragile Dissipative Fuzzy PID Control With Mixed Fading Measurements.
IEEE Trans. Fuzzy Syst., 2022

$H_{\infty }$ PID Control for Discrete-Time Fuzzy Systems With Infinite-Distributed Delays Under Round-Robin Communication Protocol.
IEEE Trans. Fuzzy Syst., 2022

Two-Stage Deep Regression Enhanced Depth Estimation From a Single RGB Image.
IEEE Trans. Emerg. Top. Comput., 2022

Energy-to-Peak State Estimation With Intermittent Measurement Outliers: The Single-Output Case.
IEEE Trans. Cybern., 2022

A Dynamic Neighborhood-Based Switching Particle Swarm Optimization Algorithm.
IEEE Trans. Cybern., 2022

H<sub>∞</sub> Proportional-Integral State Estimation for T-S Fuzzy Systems Over Randomly Delayed Redundant Channels With Partly Known Probabilities.
IEEE Trans. Cybern., 2022

Multiloop Decentralized H<sub>∞</sub> Fuzzy PID-Like Control for Discrete Time-Delayed Fuzzy Systems Under Dynamical Event-Triggered Schemes.
IEEE Trans. Cybern., 2022

Locally Minimum-Variance Filtering of 2-D Systems Over Sensor Networks With Measurement Degradations: A Distributed Recursive Algorithm.
IEEE Trans. Cybern., 2022

A Dynamic Event-Triggered Approach to Recursive Nonfragile Filtering for Complex Networks With Sensor Saturations and Switching Topologies.
IEEE Trans. Cybern., 2022

A Differential Evolution Algorithm With Adaptive Niching and K-Means Operation for Data Clustering.
IEEE Trans. Cybern., 2022

Recursive State Estimation for Networked Multirate Multisensor Systems With Distributed Time-Delays Under Round-Robin Protocol.
IEEE Trans. Cybern., 2022

H∞ Pinning Control of Complex Dynamical Networks Under Dynamic Quantization Effects: A Coupled Backward Riccati Equation Approach.
IEEE Trans. Cybern., 2022

Resilient H∞ State Estimation for Discrete-Time Stochastic Delayed Memristive Neural Networks: A Dynamic Event-Triggered Mechanism.
IEEE Trans. Cybern., 2022

Delay Compensation-Based State Estimation for Time-Varying Complex Networks With Incomplete Observations and Dynamical Bias.
IEEE Trans. Cybern., 2022

On Consensus of Second-Order Multiagent Systems With Actuator Saturations: A Generalized-Nyquist-Criterion-Based Approach.
IEEE Trans. Cybern., 2022

Recursive Minimum-Variance Filter Design for State-Saturated Complex Networks With Uncertain Coupling Strengths Subject to Deception Attacks.
IEEE Trans. Cybern., 2022

On Adaptive Learning Framework for Deep Weighted Sparse Autoencoder: A Multiobjective Evolutionary Algorithm.
IEEE Trans. Cybern., 2022

Distributed Quasiconsensus Control for Stochastic Multiagent Systems Under Round-Robin Protocol and Uniform Quantization.
IEEE Trans. Cybern., 2022

Minimum-Variance State and Fault Estimation for Multirate Systems With Dynamical Bias.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Ultimately Bounded Filtering Subject to Impulsive Measurement Outliers.
IEEE Trans. Autom. Control., 2022

State Estimation Under Joint False Data Injection Attacks: Dealing With Constraints and Insecurity.
IEEE Trans. Autom. Control., 2022

Necessary and Sufficient Conditions for Fault Diagnosability of Linear Open- and Closed-Loop Stochastic Systems Under Sensor and Actuator Faults.
IEEE Trans. Autom. Control., 2022

Fault-Tolerant Consensus Control for Multiagent Systems: An Encryption-Decryption Scheme.
IEEE Trans. Autom. Control., 2022

Distributed Recursive Filtering Over Sensor Networks With Nonlogarithmic Sensor Resolution.
IEEE Trans. Autom. Control., 2022

Model Evaluation of the Stochastic Boolean Control Networks.
IEEE Trans. Autom. Control., 2022

Local Stabilization for Multiple Input-Delay Systems Subject to Saturating Actuators: The Continuous-Time Case.
IEEE Trans. Autom. Control., 2022

Secure Particle Filtering for Cyber-Physical Systems With Binary Sensors Under Multiple Attacks.
IEEE Syst. J., 2022

Outlier-Resistant Observer-Based Control for a Class of Networked Systems Under Encoding-Decoding Mechanism.
IEEE Syst. J., 2022

Empower parameterized generative adversarial networks using a novel particle swarm optimizer: algorithms and applications.
Int. J. Mach. Learn. Cybern., 2022

A particle swarm optimizer with multi-level population sampling and dynamic <i>p</i>-learning mechanisms for large-scale optimization.
Knowl. Based Syst., 2022

A new framework for collaborative filtering with p-moment-based similarity measure: Algorithm, optimization and application.
Knowl. Based Syst., 2022

Adaptive memetic differential evolution with multi-niche sampling and neighborhood crossover strategies for global optimization.
Inf. Sci., 2022

Learning the structure of Bayesian networks with ancestral and/or heuristic partition.
Inf. Sci., 2022

H∞ observer design for networked Hamiltonian systems with sensor saturations and missing measurements.
Inf. Sci., 2022

Recursive filtering for complex networks with time-correlated fading channels: An outlier-resistant approach.
Inf. Sci., 2022

H∞ fusion estimation for uncertain discrete time-delayed Hamiltonian systems with sensor saturations: An event-triggered approach.
Inf. Fusion, 2022

Multi-sensor multi-rate fusion estimation for networked systems: Advances and perspectives.
Inf. Fusion, 2022

Scheduler-based state estimation over multiple channels networks.
Inf. Fusion, 2022

Communication-protocol-based distributed filtering for general systems over sensor networks: developments and challenges.
Int. J. Gen. Syst., 2022

Variance-Constrained Filtering Fusion for Nonlinear Cyber-Physical Systems With the Denial-of-Service Attacks and Stochastic Communication Protocol.
IEEE CAA J. Autom. Sinica, 2022

Evolutionary ensemble generative adversarial learning for identifying terrorists among high-speed rail passengers.
Expert Syst. Appl., 2022

Few-Shot Learning of Accurate Folding Landscape for Protein Structure Prediction.
CoRR, 2022

PSP: Million-level Protein Sequence Dataset for Protein Structure Prediction.
CoRR, 2022

Data and Physics Driven Learning Models for Fast MRI - Fundamentals and Methodologies from CNN, GAN to Attention and Transformers.
CoRR, 2022

Segment alignment based cross-subject motor imagery classification under fading data.
Comput. Biol. Medicine, 2022

A generalized framework of feature learning enhanced convolutional neural network for pathology-image-oriented cancer diagnosis.
Comput. Biol. Medicine, 2022

Synthetic augmentation for semantic segmentation of class imbalanced biomedical images: A data pair generative adversarial network approach.
Comput. Biol. Medicine, 2022

Set-membership filtering for two-dimensional systems with dynamic event-triggered mechanism.
Autom., 2022

Event-based state estimation under constrained bit rate: An encoding-decoding approach.
Autom., 2022

Endec-decoder-based N-step model predictive control: Detectability, stability and optimization.
Autom., 2022

Parameter-Lite Adapter for Dynamic Entity Alignment.
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022

Meta-Auto-Decoder for Solving Parametric Partial Differential Equations.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

A Universal PINNs Method for Solving Partial Differential Equations with a Point Source.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Camp Location Selection in Humanitarian Logistics: A Multiobjective Simulation Optimization Approach.
Proceedings of the Computational Science - ICCS 2022, 2022

Integrating Residual, Dense, and Inception Blocks into the nnUNet.
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

Communication-Protocol-Based Filtering and Control of Networked Systems
430, Springer, ISBN: 978-3-030-97511-1, 2022

2021
Distributed Auxiliary Particle Filtering With Diffusion Strategy for Target Tracking: A Dynamic Event-Triggered Approach.
IEEE Trans. Signal Process., 2021

Particle Filtering for Nonlinear/Non-Gaussian Systems With Energy Harvesting Sensors Subject to Randomly Occurring Sensor Saturations.
IEEE Trans. Signal Process., 2021

Protocol-Based Tobit Kalman Filter Under Integral Measurements and Probabilistic Sensor Failures.
IEEE Trans. Signal Process., 2021

Multi-Sensor Filtering Fusion With Parametric Uncertainties and Measurement Censoring: Monotonicity and Boundedness.
IEEE Trans. Signal Process., 2021

Moving Horizon Estimation of Networked Nonlinear Systems With Random Access Protocol.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Full Information Estimation for Time-Varying Systems Subject to Round-Robin Scheduling: A Recursive Filter Approach.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Finite-Time State Estimation for Delayed Neural Networks With Redundant Delayed Channels.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Observer-Based PID Security Control for Discrete Time-Delay Systems Under Cyber-Attacks.
IEEE Trans. Syst. Man Cybern. Syst., 2021

An N-State Markovian Jumping Particle Swarm Optimization Algorithm.
IEEE Trans. Syst. Man Cybern. Syst., 2021

A Dynamic Event-Triggered Approach to H<sub>∞</sub> Control for Discrete-Time Singularly Perturbed Systems With Time-Delays and Sensor Saturations.
IEEE Trans. Syst. Man Cybern. Syst., 2021

An Instance-Frequency-Weighted Regularization Scheme for Non-Negative Latent Factor Analysis on High-Dimensional and Sparse Data.
IEEE Trans. Syst. Man Cybern. Syst., 2021

A Fast Non-Negative Latent Factor Model Based on Generalized Momentum Method.
IEEE Trans. Syst. Man Cybern. Syst., 2021

A Prediction-Based Approach to Distributed Filtering With Missing Measurements and Communication Delays Through Sensor Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Partial-Nodes-Based Scalable H<sub>∞</sub>-Consensus Filtering With Censored Measurements Over Sensor Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Recursive Filtering of Distributed Cyber-Physical Systems With Attack Detection.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Probability-Guaranteed Distributed Secure Estimation for Nonlinear Systems Over Sensor Networks Under Deception Attacks on Innovations.
IEEE Trans. Signal Inf. Process. over Networks, 2021

A Resilient Approach to Recursive Distributed Filtering for Multirate Systems Over Sensor Networks With Time-Correlated Fading Channels.
IEEE Trans. Signal Inf. Process. over Networks, 2021

Federated Tobit Kalman Filtering Fusion With Dead-Zone-Like Censoring and Dynamical Bias Under the Round-Robin Protocol.
IEEE Trans. Signal Inf. Process. over Networks, 2021

Recursive Secure Filtering Over Gilbert-Elliott Channels in Sensor Networks: The Distributed Case.
IEEE Trans. Signal Inf. Process. over Networks, 2021

$H_{\infty }$ State Estimation for Coupled Stochastic Complex Networks With Periodical Communication Protocol and Intermittent Nonlinearity Switching.
IEEE Trans. Netw. Sci. Eng., 2021

Recursive State Estimation for Stochastic Complex Networks Under Round-Robin Communication Protocol: Handling Packet Disorders.
IEEE Trans. Netw. Sci. Eng., 2021

Partial-Nodes-Based State Estimation for Complex Networks With Constrained Bit Rate.
IEEE Trans. Netw. Sci. Eng., 2021

Nonfragile H<sub>∞</sub> State Estimation for Recurrent Neural Networks With Time-Varying Delays: On Proportional-Integral Observer Design.
IEEE Trans. Neural Networks Learn. Syst., 2021

Convergence Analysis of Single Latent Factor-Dependent, Nonnegative, and Multiplicative Update-Based Nonnegative Latent Factor Models.
IEEE Trans. Neural Networks Learn. Syst., 2021

Outlier-Resistant Remote State Estimation for Recurrent Neural Networks With Mixed Time-Delays.
IEEE Trans. Neural Networks Learn. Syst., 2021

A Partial-Node-Based Approach to State Estimation for Complex Networks With Sensor Saturations Under Random Access Protocol.
IEEE Trans. Neural Networks Learn. Syst., 2021

Synchronization Control for Discrete-Time-Delayed Dynamical Networks With Switching Topology Under Actuator Saturations.
IEEE Trans. Neural Networks Learn. Syst., 2021

A Hybrid Model- and Memory-Based Collaborative Filtering Algorithm for Baseline Data Prediction of Friedreich's Ataxia Patients.
IEEE Trans. Ind. Informatics, 2021

Task Allocation on Layered Multiagent Systems: When Evolutionary Many-Objective Optimization Meets Deep Q-Learning.
IEEE Trans. Evol. Comput., 2021

Design of Hybrid Event-Triggered Containment Controllers for Homogeneous and Heterogeneous Multiagent Systems.
IEEE Trans. Cybern., 2021

Genetic-Algorithm-Assisted Sliding-Mode Control for Networked State-Saturated Systems Over Hidden Markov Fading Channels.
IEEE Trans. Cybern., 2021

Outlier-Resistant Recursive Filtering for Multisensor Multirate Networked Systems Under Weighted Try-Once-Discard Protocol.
IEEE Trans. Cybern., 2021

A Novel Sigmoid-Function-Based Adaptive Weighted Particle Swarm Optimizer.
IEEE Trans. Cybern., 2021

Finite-Horizon H<sub>∞</sub> State Estimation for Stochastic Coupled Networks With Random Inner Couplings Using Round-Robin Protocol.
IEEE Trans. Cybern., 2021

Probability-Guaranteed Distributed Filtering for Nonlinear Systems With Innovation Constraints Over Sensor Networks.
IEEE Trans. Control. Netw. Syst., 2021

Recursive Filtering With Measurement Fading: A Multiple Description Coding Scheme.
IEEE Trans. Autom. Control., 2021

A Novel Framework for Backstepping-Based Control of Discrete-Time Strict-Feedback Nonlinear Systems With Multiplicative Noises.
IEEE Trans. Autom. Control., 2021

Probability-Guaranteed Envelope-Constrained Filtering for Nonlinear Systems Subject to Measurement Outliers.
IEEE Trans. Autom. Control., 2021

Resilient Actuator Fault Estimation for Discrete-Time Complex Networks: A Distributed Approach.
IEEE Trans. Autom. Control., 2021

Moving-Horizon Estimation for Linear Dynamic Networks With Binary Encoding Schemes.
IEEE Trans. Autom. Control., 2021

Local Stabilization for Discrete-Time Systems With Distributed State Delay and Fast-Varying Input Delay Under Actuator Saturations.
IEEE Trans. Autom. Control., 2021

A novel randomised particle swarm optimizer.
Int. J. Mach. Learn. Cybern., 2021

A PSO-based deep learning approach to classifying patients from emergency departments.
Int. J. Mach. Learn. Cybern., 2021

Learning Bayesian networks based on order graph with ancestral constraints.
Knowl. Based Syst., 2021

Determining the direction of the local search in topological ordering space for Bayesian network structure learning.
Knowl. Based Syst., 2021

Deep Field Relation Neural Network for click-through rate prediction.
Inf. Sci., 2021

Particle filtering for a class of cyber-physical systems under Round-Robin protocol subject to randomly occurring deception attacks.
Inf. Sci., 2021

Adaptive memetic differential evolution with niching competition and supporting archive strategies for multimodal optimization.
Inf. Sci., 2021

Partial-neurons-based state estimation for delayed neural networks with state-dependent noises under redundant channels.
Inf. Sci., 2021

On finite-horizon H∞ state estimation for discrete-time delayed memristive neural networks under stochastic communication protocol.
Inf. Sci., 2021

A Genetic Algorithm Based on Auxiliary-Individual-Directed Crossover for Internet-of-Things Applications.
IEEE Internet Things J., 2021

Two approaches to partial-nodes-based state estimation for delayed complex networks with intermittent measurement transmissions.
Inf. Fusion, 2021

Communication-protocol-based analysis and synthesis of networked systems: progress, prospects and challenges.
Int. J. Syst. Sci., 2021

State-of-charge estimation for Li-ion batteries with uncertain parameters and uncorrelated/correlated noises: a recursive approach.
Int. J. Syst. Sci., 2021

50 Years of international journal of systems science: a review of the past and trends for the future.
Int. J. Syst. Sci., 2021

Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip.
Neurocomputing, 2021

An optimally weighted user- and item-based collaborative filtering approach to predicting baseline data for Friedreich's Ataxia patients.
Neurocomputing, 2021

Event-triggered state estimation for Markovian jumping neural networks: On mode-dependent delays and uncertain transition probabilities.
Neurocomputing, 2021

An adaptive and opposite <i>K</i>-means operation based memetic algorithm for data clustering.
Neurocomputing, 2021

Learning Bayesian networks using A* search with ancestral constraints.
Neurocomputing, 2021

Bidirectional heuristic search to find the optimal Bayesian network structure.
Neurocomputing, 2021

Set-Membership Filtering Subject to Impulsive Measurement Outliers: A Recursive Algorithm.
IEEE CAA J. Autom. Sinica, 2021

An Overview of Recommendation Techniques and Their Applications in Healthcare.
IEEE CAA J. Autom. Sinica, 2021

Improved Local Search with Momentum for Bayesian Networks Structure Learning.
Entropy, 2021

Meta-Auto-Decoder for Solving Parametric Partial Differential Equations.
CoRR, 2021

Solving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks.
CoRR, 2021

A New GAN-Based Approach to Data Augmentation and Image Segmentation for Crack Detection in Thermal Imaging Tests.
Cogn. Comput., 2021

Multi-task Pruning via Filter Index Sharing: A Many-Objective Optimization Approach.
Cogn. Comput., 2021

Melt pool segmentation for additive manufacturing: A generative adversarial network approach.
Comput. Electr. Eng., 2021

Robust fusion filtering over multisensor systems with energy harvesting constraints.
Autom., 2021

Distributed state estimation for renewable energy microgrids with sensor saturations.
Autom., 2021

Fusion estimation for a class of multi-rate power systems with randomly occurring SCADA measurement delays.
Autom., 2021

Distributed state and fault estimation over sensor networks with probabilistic quantizations: The dynamic event-triggered case.
Autom., 2021

Sampled-data-based fault-tolerant consensus control for multi-agent systems: A data privacy preserving scheme.
Autom., 2021

Encryption-decryption-based consensus control for multi-agent systems: Handling actuator faults.
Autom., 2021

Consensusability of discrete-time multi-agent systems under binary encoding with bit errors.
Autom., 2021

Target tracking for wireless localization systems using set-membership filtering: A component-based event-triggered mechanism.
Autom., 2021

An improved PSO algorithm for smooth path planning of mobile robots using continuous high-degree Bezier curve.
Appl. Soft Comput., 2021

Recursive filtering for stochastic parameter systems with measurement quantizations and packet disorders.
Appl. Math. Comput., 2021

SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

A Trace-restricted Kronecker-Factored Approximation to Natural Gradient.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
$\mathcal{H}_{\infty}$ PID Control With Fading Measurements: The Output-Feedback Case.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Robust Finite-Horizon Filtering for 2-D Systems With Randomly Varying Sensor Delays.
IEEE Trans. Syst. Man Cybern. Syst., 2020

N-Step MPC for Systems With Persistent Bounded Disturbances Under SCP.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Dynamic Event-Triggered State Estimation for Discrete-Time Singularly Perturbed Systems With Distributed Time-Delays.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Nonfragile $l_{2}$ - $l_{\infty}$ Fault Estimation for Markovian Jump 2-D Systems With Specified Power Bounds.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Finite-Horizon Distributed State Estimation Under Randomly Switching Topologies and Redundant Channels.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Distributed State Estimation Under Random Parameters and Dynamic Quantizations Over Sensor Networks: A Dynamic Event-Based Approach.
IEEE Trans. Signal Inf. Process. over Networks, 2020

Event-Based Adaptive Neural Tracking Control for Discrete-Time Stochastic Nonlinear Systems: A Triggering Threshold Compensation Strategy.
IEEE Trans. Neural Networks Learn. Syst., 2020

State-Saturated Recursive Filter Design for Stochastic Time-Varying Nonlinear Complex Networks Under Deception Attacks.
IEEE Trans. Neural Networks Learn. Syst., 2020

Scalable Distributed Filtering for a Class of Discrete-Time Complex Networks Over Time-Varying Topology.
IEEE Trans. Neural Networks Learn. Syst., 2020

A Dynamic Event-Triggered Approach to Recursive Filtering for Complex Networks With Switching Topologies Subject to Random Sensor Failures.
IEEE Trans. Neural Networks Learn. Syst., 2020

Partial-Neurons-Based Passivity-Guaranteed State Estimation for Neural Networks With Randomly Occurring Time Delays.
IEEE Trans. Neural Networks Learn. Syst., 2020

Variance-Constrained Recursive State Estimation for Time-Varying Complex Networks With Quantized Measurements and Uncertain Inner Coupling.
IEEE Trans. Neural Networks Learn. Syst., 2020

An Event-Triggering Approach to Recursive Filtering for Complex Networks With State Saturations and Random Coupling Strengths.
IEEE Trans. Neural Networks Learn. Syst., 2020

Mixed $H_2/H_\infty$ State Estimation for Discrete-Time Switched Complex Networks With Random Coupling Strengths Through Redundant Channels.
IEEE Trans. Neural Networks Learn. Syst., 2020

Review on Diagnosis Techniques for Intermittent Faults in Dynamic Systems.
IEEE Trans. Ind. Electron., 2020

Noncooperative Event-Triggered Control Strategy Design With Round-Robin Protocol: Applications to Load Frequency Control of Circuit Systems.
IEEE Trans. Ind. Electron., 2020

Proportional-Integral Observer Design for Multidelayed Sensor-Saturated Recurrent Neural Networks: A Dynamic Event-Triggered Protocol.
IEEE Trans. Cybern., 2020

Event-Triggered Recursive Filtering for Shift-Varying Linear Repetitive Processes.
IEEE Trans. Cybern., 2020

Observer-Based Fuzzy Output-Feedback Control for Discrete-Time Strict-Feedback Nonlinear Systems With Stochastic Noises.
IEEE Trans. Cybern., 2020

Adaptive Neural Event-Triggered Control for Discrete-Time Strict-Feedback Nonlinear Systems.
IEEE Trans. Cybern., 2020

Distributed State-Saturated Recursive Filtering Over Sensor Networks Under Round-Robin Protocol.
IEEE Trans. Cybern., 2020

Distributed Set-Membership Filtering for Multirate Systems Under the Round-Robin Scheduling Over Sensor Networks.
IEEE Trans. Cybern., 2020

Delay-Distribution-Dependent H<sub>∞</sub> State Estimation for Discrete-Time Memristive Neural Networks With Mixed Time-Delays and Fading Measurements.
IEEE Trans. Cybern., 2020

Robust Partial-Nodes-Based State Estimation for Complex Networks Under Deception Attacks.
IEEE Trans. Cybern., 2020

A Scalable Algorithm for Event-Triggered State Estimation With Unknown Parameters and Switching Topologies Over Sensor Networks.
IEEE Trans. Cybern., 2020

Neural-Network-Based Consensus Control for Multiagent Systems With Input Constraints: The Event-Triggered Case.
IEEE Trans. Cybern., 2020

Distributed H<sub>∞</sub> Filtering for Switched Stochastic Delayed Systems Over Sensor Networks With Fading Measurements.
IEEE Trans. Cybern., 2020

Moving Horizon Estimation With Unknown Inputs Under Dynamic Quantization Effects.
IEEE Trans. Autom. Control., 2020

Protocol-Based Unscented Kalman Filtering in the Presence of Stochastic Uncertainties.
IEEE Trans. Autom. Control., 2020

On Boundedness of Error Covariances for Kalman Consensus Filtering Problems.
IEEE Trans. Autom. Control., 2020

A Set-Membership Approach to Event-Triggered Filtering for General Nonlinear Systems Over Sensor Networks.
IEEE Trans. Autom. Control., 2020

State Estimation for Stochastic Time-Varying Boolean Networks.
IEEE Trans. Autom. Control., 2020

Ultimately Bounded Filtering for Time-Delayed Nonlinear Stochastic Systems with Uniform Quantizations under Random Access Protocol.
Sensors, 2020

l2-l∞ state estimation for delayed artificial neural networks under high-rate communication channels with Round-Robin protocol.
Neural Networks, 2020

H∞ and l2-l∞ state estimation for delayed memristive neural networks on finite horizon: The Round-Robin protocol.
Neural Networks, 2020

Dynamic event-based state estimation for delayed artificial neural networks with multiplicative noises: A gain-scheduled approach.
Neural Networks, 2020

Delay-distribution-dependent state estimation for neural networks under stochastic communication protocol with uncertain transition probabilities.
Neural Networks, 2020

Recursive state estimation for linear systems with lossy measurements under time-correlated multiplicative noises.
J. Frankl. Inst., 2020

Recursive resilient filtering for nonlinear stochastic systems with packet disorders.
J. Frankl. Inst., 2020

H∞ state estimation for multi-rate artificial neural networks with integral measurements: A switched system approach.
Inf. Sci., 2020

Dynamic event-triggered mechanism for <i>H</i><sub>∞</sub> non-fragile state estimation of complex networks under randomly occurring sensor saturations.
Inf. Sci., 2020

Moving horizon estimation meets multi-sensor information fusion: Development, opportunities and challenges.
Inf. Fusion, 2020

Fusion estimation for multi-rate linear repetitive processes under weighted try-once-discard protocol.
Inf. Fusion, 2020

Extended Kalman filtering subject to random transmission delays: Dealing with packet disorders.
Inf. Fusion, 2020

Recursive fusion estimation for stochastic discrete time-varying complex networks under stochastic communication protocol: The state-saturated case.
Inf. Fusion, 2020

Set-membership filtering for time-varying complex networks with uniform quantisations over randomly delayed redundant channels.
Int. J. Syst. Sci., 2020

An overview of stability analysis and state estimation for memristive neural networks.
Neurocomputing, 2020

Detection of intermittent faults for nonuniformly sampled multi-rate systems with dynamic quantisation and missing measurements.
Int. J. Control, 2020

AsymptoticNG: A regularized natural gradient optimization algorithm with look-ahead strategy.
CoRR, 2020

A Collaborative-Filtering-Based Data Collection Strategy for Friedreich's Ataxia.
Cogn. Comput., 2020

Anti-disturbance filter design for a class of stochastic systems with fading channels.
Sci. China Inf. Sci., 2020

Moving horizon estimation with non-uniform sampling under component-based dynamic event-triggered transmission.
Autom., 2020

A dynamic event-triggered approach to observer-based PID security control subject to deception attacks.
Autom., 2020

Recursive state estimation for two-dimensional shift-varying systems with random parameter perturbation and dynamical bias.
Autom., 2020

Quadratic estimation for discrete time-varying non-Gaussian systems with multiplicative noises and quantization effects.
Autom., 2020

Two-stage particle filtering for non-Gaussian state estimation with fading measurements.
Autom., 2020

Recursive distributed filtering over sensor networks on Gilbert-Elliott channels: A dynamic event-triggered approach.
Autom., 2020

Fault estimation for complex networks with randomly varying topologies and stochastic inner couplings.
Autom., 2020

Recursive distributed filtering for two-dimensional shift-varying systems over sensor networks under stochastic communication protocols.
Autom., 2020

Event-triggered recursive state estimation for dynamical networks under randomly switching topologies and multiple missing measurements.
Autom., 2020

Beyond the Search Bar: The Value of Search Quality on E-commerce Platforms.
Proceedings of the 41st International Conference on Information Systems, 2020

2019
Robust H<sub>2</sub>/H<sub>∞</sub> Model Predictive Control for Linear Systems With Polytopic Uncertainties Under Weighted MEF-TOD Protocol.
IEEE Trans. Syst. Man Cybern. Syst., 2019

Event-Triggered Partial-Nodes-Based State Estimation for Delayed Complex Networks With Bounded Distributed Delays.
IEEE Trans. Syst. Man Cybern. Syst., 2019

Input-to-State Stabilization of Delayed Differential Systems With Exogenous Disturbances: The Event-Triggered Case.
IEEE Trans. Syst. Man Cybern. Syst., 2019

Non-Fragile Distributed Fault Estimation for a Class of Nonlinear Time-Varying Systems Over Sensor Networks: The Finite-Horizon Case.
IEEE Trans. Signal Inf. Process. over Networks, 2019

An Effective Scheme for QoS Estimation via Alternating Direction Method-Based Matrix Factorization.
IEEE Trans. Serv. Comput., 2019

$H_{\infty}$ State Estimation for Discrete-Time Nonlinear Singularly Perturbed Complex Networks Under the Round-Robin Protocol.
IEEE Trans. Neural Networks Learn. Syst., 2019

A Recursive Approach to Quantized ${H_{\infty}}$ State Estimation for Genetic Regulatory Networks Under Stochastic Communication Protocols.
IEEE Trans. Neural Networks Learn. Syst., 2019

Exponential Synchronization for Delayed Dynamical Networks via Intermittent Control: Dealing With Actuator Saturations.
IEEE Trans. Neural Networks Learn. Syst., 2019

State Estimation for Communication-Based Train Control Systems With CSMA Protocol.
IEEE Trans. Intell. Transp. Syst., 2019

A Survey on Model-Based Distributed Control and Filtering for Industrial Cyber-Physical Systems.
IEEE Trans. Ind. Informatics, 2019

A Sampled-Data Approach to Nonlinear ESO-Based Active Disturbance Rejection Control for Pneumatic Muscle Actuator Systems with Actuator Saturations.
IEEE Trans. Ind. Electron., 2019

EGEP: An Event Tracker Enhanced Gene Expression Programming for Data Driven System Engineering Problems.
IEEE Trans. Emerg. Top. Comput. Intell., 2019

A Novel Particle Swarm Optimization Approach for Patient Clustering From Emergency Departments.
IEEE Trans. Evol. Comput., 2019

Near-Optimal Resilient Control Strategy Design for State-Saturated Networked Systems Under Stochastic Communication Protocol.
IEEE Trans. Cybern., 2019

Nonfragile Near-Optimal Control of Stochastic Time-Varying Multiagent Systems With Control- and State-Dependent Noises.
IEEE Trans. Cybern., 2019

Observer-Based Consensus Control for Discrete-Time Multiagent Systems With Coding-Decoding Communication Protocol.
IEEE Trans. Cybern., 2019

Resilient State Estimation for 2-D Time-Varying Systems With Redundant Channels: A Variance-Constrained Approach.
IEEE Trans. Cybern., 2019

Observer-Based Event-Triggered Control for Nonlinear Systems With Mixed Delays and Disturbances: The Input-to-State Stability.
IEEE Trans. Cybern., 2019

Input-to-State Stabilization in Probability for Nonlinear Stochastic Systems Under Quantization Effects and Communication Protocols.
IEEE Trans. Cybern., 2019

Synchronization Control for A Class of Discrete Time-Delay Complex Dynamical Networks: A Dynamic Event-Triggered Approach.
IEEE Trans. Cybern., 2019

A Threshold-Parameter-Dependent Approach to Designing Distributed Event-Triggered $H_{\infty}$ Consensus Filters Over Sensor Networks.
IEEE Trans. Cybern., 2019

A Dynamic Event-Triggered Transmission Scheme for Distributed Set-Membership Estimation Over Wireless Sensor Networks.
IEEE Trans. Cybern., 2019

Neural-Network-Based Output-Feedback Control Under Round-Robin Scheduling Protocols.
IEEE Trans. Cybern., 2019

Reliable Data Fusion of Hierarchical Wireless Sensor Networks With Asynchronous Measurement for Greenhouse Monitoring.
IEEE Trans. Control. Syst. Technol., 2019

Set-Membership Filtering for State-Saturated Systems With Mixed Time-Delays Under Weighted Try-Once-Discard Protocol.
IEEE Trans. Circuits Syst. II Express Briefs, 2019

Moving Horizon Estimation for Networked Time-Delay Systems Under Round-Robin Protocol.
IEEE Trans. Autom. Control., 2019

Recursive Filtering for Time-Varying Systems With Random Access Protocol.
IEEE Trans. Autom. Control., 2019

On $H_\infty$ Sliding Mode Control Under Stochastic Communication Protocol.
IEEE Trans. Autom. Control., 2019

Event-Based Distributed Filtering Over Markovian Switching Topologies.
IEEE Trans. Autom. Control., 2019

Stabilization of MIMO Systems Over Multiple Independent and Memoryless Fading Noisy Channels.
IEEE Trans. Autom. Control., 2019

Minimum-Variance Recursive Filtering for Two-Dimensional Systems With Degraded Measurements: Boundedness and Monotonicity.
IEEE Trans. Autom. Control., 2019

Regional Stabilization for Discrete Time-Delay Systems With Actuator Saturations via A Delay-Dependent Polytopic Approach.
IEEE Trans. Autom. Control., 2019

State estimation under non-Gaussian Lévy and time-correlated additive sensor noises: A modified Tobit Kalman filtering approach.
Signal Process., 2019

Delay-distribution-dependent non-fragile state estimation for discrete-time neural networks under event-triggered mechanism.
Neural Comput. Appl., 2019

On passivity and robust passivity for discrete-time stochastic neural networks with randomly occurring mixed time delays.
Neural Comput. Appl., 2019

\(H_{\infty }\) state estimation for discrete-time stochastic memristive BAM neural networks with mixed time-delays.
Int. J. Mach. Learn. Cybern., 2019

A new approach to smooth global path planning of mobile robots with kinematic constraints.
Int. J. Mach. Learn. Cybern., 2019

Variance-constrained <i>H</i><sub>∞</sub> state estimation for time-varying multi-rate systems with redundant channels: The finite-horizon case.
Inf. Sci., 2019

A Partial-Nodes-Based Information fusion approach to state estimation for discrete-Time delayed stochastic complex networks.
Inf. Fusion, 2019

A new approach to distributed fusion filtering for networked systems with random parameter matrices and correlated noises.
Inf. Fusion, 2019

Non-fragile |$H_{\infty}$| state estimation for discrete-time complex networks with randomly occurring time-varying delays and channel fadings.
IMA J. Math. Control. Inf., 2019

Integration of residual network and convolutional neural network along with various activation functions and global pooling for time series classification.
Neurocomputing, 2019

Un-supervised and semi-supervised hand segmentation in egocentric images with noisy label learning.
Neurocomputing, 2019

Position tracking and attitude control for quadrotors via active disturbance rejection control method.
Sci. China Inf. Sci., 2019

On resilient strategy design of multi-tasking optimal control for state-saturated systems with nonlinear disturbances: The time-varying case.
Autom., 2019

Active disturbance rejection control for a pneumatic motion platform subject to actuator saturation: An extended state observer approach.
Autom., 2019

Chance-constrained H∞ control for a class of time-varying systems with stochastic nonlinearities: The finite-horizon case.
Autom., 2019

Finite-horizon filtering for a class of nonlinear time-delayed systems with an energy harvesting sensor.
Autom., 2019

An information aware event-triggered scheme for particle filter based remote state estimation.
Autom., 2019

Neural-network-based output-feedback control with stochastic communication protocols.
Autom., 2019

State estimation over non-acknowledgment networks with Markovian packet dropouts.
Autom., 2019

Radio-Frequency Power Amplifier Based on CVD Graphene Field-Effect Transistor.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

ℓ2-ℓ∞ PID Output-Feedback Control for Discrete Time-Delay Systems<sup>*</sup>.
Proceedings of the 25th International Conference on Automation and Computing, 2019

MOI-Based Stratified Crack Detection: A PCA Approach<sup>*</sup>.
Proceedings of the 25th International Conference on Automation and Computing, 2019

Resilient Recursive State Estimation for Discrete Time-Varying Systems with Deception Attacks<sup>*</sup>.
Proceedings of the 25th International Conference on Automation and Computing, 2019

H∞ State Estimation for Neural Networks Subject to Missing Measurements with Uncertain Missing Probabilities<sup>*</sup>.
Proceedings of the 25th International Conference on Automation and Computing, 2019

A Deep Learning Approach for Classifying Patient Attendance Disposal from Emergency Departments.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019

A Hierarchical Game Approach to the Coupled Resilient Control of CPS against Denial-of-Service Attack.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019

Hybrid-Disturbance-Observer-Based Nonlinear Control for Characteristic Model with Applications to Bionic Pneumatic Actuator System.
Proceedings of the 4th IEEE International Conference on Advanced Robotics and Mechatronics, 2019

2018
Distributed Federated Tobit Kalman Filter Fusion Over a Packet-Delaying Network: A Probabilistic Perspective.
IEEE Trans. Signal Process., 2018

Event-Triggered Strategy Design for Discrete-Time Nonlinear Quadratic Games With Disturbance Compensations: The Noncooperative Case.
IEEE Trans. Syst. Man Cybern. Syst., 2018

Recursive Distributed Filtering for a Class of State-Saturated Systems With Fading Measurements and Quantization Effects.
IEEE Trans. Syst. Man Cybern. Syst., 2018

Security Control for Discrete-Time Stochastic Nonlinear Systems Subject to Deception Attacks.
IEEE Trans. Syst. Man Cybern. Syst., 2018

Finite-Time State Estimation for Recurrent Delayed Neural Networks With Component-Based Event-Triggering Protocol.
IEEE Trans. Neural Networks Learn. Syst., 2018

Partial-Nodes-Based State Estimation for Complex Networks With Unbounded Distributed Delays.
IEEE Trans. Neural Networks Learn. Syst., 2018

Event-Triggered H<sub>∞</sub> State Estimation for Delayed Stochastic Memristive Neural Networks With Missing Measurements: The Discrete Time Case.
IEEE Trans. Neural Networks Learn. Syst., 2018

An Event-Triggered Pinning Control Approach to Synchronization of Discrete-Time Stochastic Complex Dynamical Networks.
IEEE Trans. Neural Networks Learn. Syst., 2018

Variance-Constrained State Estimation for Complex Networks With Randomly Varying Topologies.
IEEE Trans. Neural Networks Learn. Syst., 2018

Active disturbance rejection controller design for stable walking of a compass-like biped.
Trans. Inst. Meas. Control, 2018

Target Tracking for Wireless Localization Systems With Degraded Measurements and Quantization Effects.
IEEE Trans. Ind. Electron., 2018

A Gain-Scheduling Approach to Nonfragile H<sub>∞</sub> Fuzzy Control Subject to Fading Channels.
IEEE Trans. Fuzzy Syst., 2018

Fault Detection for Fuzzy Systems With Multiplicative Noises Under Periodic Communication Protocols.
IEEE Trans. Fuzzy Syst., 2018

Finite-Horizon H<sub>∞</sub> Consensus for Multiagent Systems With Redundant Channels via An Observer-Type Event-Triggered Scheme.
IEEE Trans. Cybern., 2018

Synchronization Control for a Class of Discrete-Time Dynamical Networks With Packet Dropouts: A Coding-Decoding-Based Approach.
IEEE Trans. Cybern., 2018

Event-Based Variance-Constrained ${\mathcal {H}}_{\infty }$ Filtering for Stochastic Parameter Systems Over Sensor Networks With Successive Missing Measurements.
IEEE Trans. Cybern., 2018

A Variance-Constrained Approach to Recursive Filtering for Nonlinear 2-D Systems With Measurement Degradations.
IEEE Trans. Cybern., 2018

Resilient Filtering for Linear Time-Varying Repetitive Processes Under Uniform Quantizations and Round-Robin Protocols.
IEEE Trans. Circuits Syst. I Regul. Pap., 2018

Finite-Time H<sub>∞</sub> State Estimation for Discrete Time-Delayed Genetic Regulatory Networks Under Stochastic Communication Protocols.
IEEE Trans. Circuits Syst. I Regul. Pap., 2018

On Kalman-Consensus Filtering With Random Link Failures Over Sensor Networks.
IEEE Trans. Autom. Control., 2018

An event-triggered approach to robust recursive filtering for stochastic discrete time-varying spatial-temporal systems.
Signal Process., 2018

Improved Tobit Kalman filtering for systems with random parameters via conditional expectation.
Signal Process., 2018

UKF-based remote state estimation for discrete artificial neural networks with communication bandwidth constraints.
Neural Networks, 2018

Stability analysis for discrete-time stochastic memristive neural networks with both leakage and probabilistic delays.
Neural Networks, 2018

Protocol-based state estimation for delayed Markovian jumping neural networks.
Neural Networks, 2018

Fault Diagnosis and Application to Modern Systems 2018.
J. Control. Sci. Eng., 2018

Centralized security-guaranteed filtering in multirate-sensor fusion under deception attacks.
J. Frankl. Inst., 2018

Robust <i>H</i><sub>∞</sub> control for a class of uncertain nonlinear systems with mixed time-delays.
J. Frankl. Inst., 2018

An event-triggered approach to distributed <i>H</i><sub>∞</sub> state estimation for state-saturated systems with randomly occurring mixed delays.
J. Frankl. Inst., 2018

Event-triggered <i>H</i><sub>∞</sub> state estimation for state-saturated complex networks subject to quantization effects and distributed delays.
J. Frankl. Inst., 2018

Distributed quantized multi-modal <i>H</i><sub>∞</sub> fusion filtering for two-time-scale systems.
Inf. Sci., 2018

On quantized H∞ filtering for multi-rate systems under stochastic communication protocols: The finite-horizon case.
Inf. Sci., 2018

Event-based distributed recursive filtering for state-saturated systems with redundant channels.
Inf. Fusion, 2018

Event-based distributed information fusion over sensor networks.
Inf. Fusion, 2018

Collaborative fusion estimation over wireless sensor networks for monitoring CO<sub>2</sub> concentration in a greenhouse.
Inf. Fusion, 2018

Finite-horizon H∞ state estimation for artificial neural networks with component-based distributed delays and stochastic protocol.
Neurocomputing, 2018

A new switching-delayed-PSO-based optimized SVM algorithm for diagnosis of Alzheimer's disease.
Neurocomputing, 2018

State estimation for delayed neural networks with stochastic communication protocol: The finite-time case.
Neurocomputing, 2018

PID output-feedback control under event-triggered protocol.
Int. J. Gen. Syst., 2018

Event-based recursive filtering for a class of nonlinear stochastic parameter systems over fading channels.
Int. J. Gen. Syst., 2018

Detection, isolation and diagnosability analysis of intermittent faults in stochastic systems.
Int. J. Control, 2018

Quantised polynomial filtering for nonlinear systems with missing measurements.
Int. J. Control, 2018

Event-based input and state estimation for linear discrete time-varying systems.
Int. J. Control, 2018

Encoding-Decoding-Based control and filtering of networked systems: insights, developments and opportunities.
IEEE CAA J. Autom. Sinica, 2018

Guaranteed cost control for uncertain nonlinear systems with mixed time-delays: The discrete-time case.
Eur. J. Control, 2018

Dissipative control for nonlinear Markovian jump systems with actuator failures and mixed time-delays.
Autom., 2018

Envelope-constrained H∞ filtering for nonlinear systems with quantization effects: The finite horizon case.
Autom., 2018

Event-triggered resilient filtering with measurement quantization and random sensor failures: Monotonicity and convergence.
Autom., 2018

Robust Kalman filtering for two-dimensional systems with multiplicative noises and measurement degradations: The finite-horizon case.
Autom., 2018

State estimation under false data injection attacks: Security analysis and system protection.
Autom., 2018

Joint state and fault estimation for time-varying nonlinear systems with randomly occurring faults and sensor saturations.
Autom., 2018

Stochastic stability for distributed delay neural networks via augmented Lyapunov-Krasovskii functionals.
Appl. Math. Comput., 2018

2017
A Resilient Approach to Distributed Filter Design for Time-Varying Systems Under Stochastic Nonlinearities and Sensor Degradation.
IEEE Trans. Signal Process., 2017

Output-Feedback Control for Nonlinear Stochastic Systems With Successive Packet Dropouts and Uniform Quantization Effects.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Mean-Square H<sub>∞</sub> Consensus Control for a Class of Nonlinear Time-Varying Stochastic Multiagent Systems: The Finite-Horizon Case.
IEEE Trans. Syst. Man Cybern. Syst., 2017

H<sub>∞</sub> Fuzzy Fault Detection for Uncertain 2-D Systems Under Round-Robin Scheduling Protocol.
IEEE Trans. Syst. Man Cybern. Syst., 2017

State Estimation for Discrete-Time Dynamical Networks With Time-Varying Delays and Stochastic Disturbances Under the Round-Robin Protocol.
IEEE Trans. Neural Networks Learn. Syst., 2017

Event-Based H<sub>∞</sub> State Estimation for Time-Varying Stochastic Dynamical Networks With State- and Disturbance-Dependent Noises.
IEEE Trans. Neural Networks Learn. Syst., 2017

Event-Triggered State Estimation for Discrete-Time Multidelayed Neural Networks With Stochastic Parameters and Incomplete Measurements.
IEEE Trans. Neural Networks Learn. Syst., 2017

Symmetric and Nonnegative Latent Factor Models for Undirected, High-Dimensional, and Sparse Networks in Industrial Applications.
IEEE Trans. Ind. Informatics, 2017

Active Disturbance Rejection Control for the Ranger Neutral Buoyancy Vehicle: A Delta Operator Approach.
IEEE Trans. Ind. Electron., 2017

Fault-Tolerant Control for an Internet-Based Three-Tank System: Accommodation to Sensor Bias Faults.
IEEE Trans. Ind. Electron., 2017

Robust ℋ<sub>∞</sub> Filtering for a Class of Two-Dimensional Uncertain Fuzzy Systems With Randomly Occurring Mixed Delays.
IEEE Trans. Fuzzy Syst., 2017

Finite-Horizon ℋ<sub>∞</sub> Consensus Control of Time-Varying Multiagent Systems With Stochastic Communication Protocol.
IEEE Trans. Cybern., 2017

Neuronal State Estimation for Neural Networks With Two Additive Time-Varying Delay Components.
IEEE Trans. Cybern., 2017

Distributed Event-Based Set-Membership Filtering for a Class of Nonlinear Systems With Sensor Saturations Over Sensor Networks.
IEEE Trans. Cybern., 2017

H<sub>∞</sub> Control for 2-D Fuzzy Systems With Interval Time-Varying Delays and Missing Measurements.
IEEE Trans. Cybern., 2017

Observer-Based Event-Triggering Consensus Control for Multiagent Systems With Lossy Sensors and Cyber-Attacks.
IEEE Trans. Cybern., 2017

Event-Based Finite-Time Filtering for Multirate Systems With Fading Measurements.
IEEE Trans. Aerosp. Electron. Syst., 2017

Ultimate Boundedness Control for Networked Systems With Try-Once-Discard Protocol and Uniform Quantization Effects.
IEEE Trans. Autom. Control., 2017

On ℋ<sub>∞</sub> Finite-Horizon Filtering Under Stochastic Protocol: Dealing With High-Rate Communication Networks.
IEEE Trans. Autom. Control., 2017

Quantized/Saturated Control for Sampled-Data Systems Under Noisy Sampling Intervals: A Confluent Vandermonde Matrix Approach.
IEEE Trans. Autom. Control., 2017

Event-Triggered Mean-Square Consensus Control for Time-Varying Stochastic Multi-Agent System With Sensor Saturations.
IEEE Trans. Autom. Control., 2017

Tobit Kalman filter with fading measurements.
Signal Process., 2017

Finite-horizon H<sub>∞</sub> filtering for switched time-varying stochastic systems with random sensor nonlinearities and packet dropouts.
Signal Process., 2017

Output-feedback H<sub>2</sub> / H<sub>∞</sub> consensus control for stochastic time-varying multi-agent systems with (x, u, v)-dependent noises.
Syst. Control. Lett., 2017

Finite-horizon quantized H<sub>∞</sub> filter design for a class of time-varying systems under event-triggered transmissions.
Syst. Control. Lett., 2017

H<sub>∞</sub> state estimation for discrete-time neural networks with distributed delays and randomly occurring uncertainties through Fading channels.
Neural Networks, 2017

An RBF neural network approach to geometric error compensation with displacement measurements only.
Neural Comput. Appl., 2017

Fault Diagnosis and Application to Modern Systems.
J. Control. Sci. Eng., 2017

Composite control of linear quadratic games in delta domain with disturbance observers.
J. Frankl. Inst., 2017

A sampled-data approach to distributed <i>H</i><sub>∞</sub> resilient state estimation for a class of nonlinear time-delay systems over sensor networks.
J. Frankl. Inst., 2017

Memory-based controller design for neutral time-delay systems with input saturations: A novel delay-dependent polytopic approach.
J. Frankl. Inst., 2017

State estimation for asynchronous sensor systems with Markov jumps and multiplicative noises.
Inf. Sci., 2017

Event-based filtering for time-varying nonlinear systems subject to multiple missing measurements with uncertain missing probabilities.
Inf. Fusion, 2017

A survey of deep neural network architectures and their applications.
Neurocomputing, 2017

Event-triggered filtering and fault estimation for nonlinear systems with stochastic sensor saturations.
Int. J. Control, 2017

Event-based control and filtering of networked systems: A survey.
Int. J. Autom. Comput., 2017

Signal Consensus in TSP of the Same Grid in Road Network.
Future Internet, 2017

Exponential stabilization of nonlinear switched systems with distributed time-delay: An average dwell time approach.
Eur. J. Control, 2017

On Global Smooth Path Planning for Mobile Robots using a Novel Multimodal Delayed PSO Algorithm.
Cogn. Comput., 2017

Consensus control of stochastic multi-agent systems: a survey.
Sci. China Inf. Sci., 2017

Distributed recursive filtering for stochastic systems under uniform quantizations and deception attacks through sensor networks.
Autom., 2017

An Adaptive Memetic Algorithm With Rank-Based Mutation for Artificial Neural Network Architecture Optimization.
IEEE Access, 2017

Suboptimal control for time-varying systems with stochastic communication protocol: The finite-horizon case.
Proceedings of the 23rd International Conference on Automation and Computing, 2017

Event-triggered variance-constrained finite-horizon state estimation for discrete-time systems with redundant channels.
Proceedings of the 23rd International Conference on Automation and Computing, 2017

H∞ state estimation for discrete time-delayed stochastic genetic regulatory networks with known sojourn probabilities.
Proceedings of the 23rd International Conference on Automation and Computing, 2017

Model predictive control for unconstrained polytopic systems under try-once-discard protocol.
Proceedings of the 23rd International Conference on Automation and Computing, 2017

A clustering approach to triage categorization in A&E departments.
Proceedings of the 23rd International Conference on Automation and Computing, 2017

Distributed sampled-data state estimation for sensor networks with nonuniform samplings.
Proceedings of the 23rd International Conference on Automation and Computing, 2017

PD-type H∞ consensus control for discrete-time stochastic multi-agent systems.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Distributed Filtering for Fuzzy Time-Delay Systems With Packet Dropouts and Redundant Channels.
IEEE Trans. Syst. Man Cybern. Syst., 2016

Dynamic State Estimation of Power Systems With Quantization Effects: A Recursive Filter Approach.
IEEE Trans. Neural Networks Learn. Syst., 2016

A Quality-Based Nonlinear Fault Diagnosis Framework Focusing on Industrial Multimode Batch Processes.
IEEE Trans. Ind. Electron., 2016

Nonfragile H<sub>∞</sub> Fuzzy Filtering With Randomly Occurring Gain Variations and Channel Fadings.
IEEE Trans. Fuzzy Syst., 2016

An Event-Triggered Approach to State Estimation for a Class of Complex Networks With Mixed Time Delays and Nonlinearities.
IEEE Trans. Cybern., 2016

A Constrained Optimization Approach to Dynamic State Estimation for Power Systems Including PMU and Missing Measurements.
IEEE Trans. Control. Syst. Technol., 2016

Active Fault-Tolerant Control for an Internet-Based Networked Three-Tank System.
IEEE Trans. Control. Syst. Technol., 2016

Minimum-Variance Recursive Filtering Over Sensor Networks With Stochastic Sensor Gain Degradation: Algorithms and Performance Analysis.
IEEE Trans. Control. Netw. Syst., 2016

On ℋ<sub>∞</sub> Estimation of Randomly Occurring Faults for A Class of Nonlinear Time-Varying Systems With Fading Channels.
IEEE Trans. Autom. Control., 2016

Distributed parameter estimation in unreliable sensor networks via broadcast gossip algorithms.
Neural Networks, 2016

Delay-distribution-dependent H<sub>∞</sub> state estimation for delayed neural networks with (x, v)-dependent noises and fading channels.
Neural Networks, 2016

State estimation for a class of artificial neural networks with stochastically corrupted measurements under Round-Robin protocol.
Neural Networks, 2016

Recent advances on filtering and control for cyber-physical systems under security and resource constraints.
J. Frankl. Inst., 2016

Distributed H<sub>∞</sub> state estimation for stochastic delayed 2-D systems with randomly varying nonlinearities over saturated sensor networks.
Inf. Sci., 2016

Estimation, filtering and fusion for networked systems with network-induced phenomena: New progress and prospects.
Inf. Fusion, 2016

Design of non-fragile state estimators for discrete time-delayed neural networks with parameter uncertainties.
Neurocomputing, 2016

Almost sure H<sub>∞</sub> sliding mode control for nonlinear stochastic systems with Markovian switching and time-delays.
Neurocomputing, 2016

An RBF neural network approach towards precision motion system with selective sensor fusion.
Neurocomputing, 2016

A new approach to non-fragile state estimation for continuous neural networks with time-delays.
Neurocomputing, 2016

Non-fragile state estimation for discrete Markovian jumping neural networks.
Neurocomputing, 2016

Robust synchronization of complex networks with uncertain couplings and incomplete information.
Int. J. Gen. Syst., 2016

On general systems with randomly occurring incomplete information.
Int. J. Gen. Syst., 2016

H<sub>∞</sub> state estimation for discrete-time memristive recurrent neural networks with stochastic time-delays.
Int. J. Gen. Syst., 2016

Distributed fault estimation with randomly occurring uncertainties over sensor networks.
Int. J. Gen. Syst., 2016

Deep Belief Networks for Quantitative Analysis of a Gold Immunochromatographic Strip.
Cogn. Comput., 2016

A Novel Switching Delayed PSO Algorithm for Estimating Unknown Parameters of Lateral Flow Immunoassay.
Cogn. Comput., 2016

Inferring nonlinear lateral flow immunoassay state-space models via an unscented Kalman filter.
Sci. China Inf. Sci., 2016

Pinning controllability of autonomous Boolean control networks.
Sci. China Inf. Sci., 2016

Set-membership filtering for time-varying systems with mixed time-delays under Round-Robin and Weighted Try-Once-Discard protocols.
Autom., 2016

Observer-based H<sub>∞</sub> control of networked systems with stochastic communication protocol: The finite-horizon case.
Autom., 2016

Nodes selection strategy in cooperative tracking problem.
Autom., 2016

Stabilization for sampled-data systems under noisy sampling interval.
Autom., 2016

A variance-constrained approach to recursive state estimation for time-varying complex networks with missing measurements.
Autom., 2016

Variance-constrained H<sub>∞</sub> control for a class of nonlinear stochastic discrete time-varying systems: The event-triggered design.
Autom., 2016

Robust filtering for a class of nonlinear stochastic systems with probability constraints.
Autom. Remote. Control., 2016

Consensus control for nonlinear multi-agent systems subject to deception attacks.
Proceedings of the 22nd International Conference on Automation and Computing, 2016

Event-triggered resilient filtering with missing measurements.
Proceedings of the 22nd International Conference on Automation and Computing, 2016

2015
Event-Based H<sub>∞</sub> Filter Design for a Class of Nonlinear Time-Varying Systems With Fading Channels and Multiplicative Noises.
IEEE Trans. Signal Process., 2015

Event-Based Distributed Filtering With Stochastic Measurement Fading.
IEEE Trans. Ind. Informatics, 2015

Event-Triggered State Estimation for Complex Networks With Mixed Time Delays via Sampled Data Information: The Continuous-Time Case.
IEEE Trans. Cybern., 2015

An Integrated Approach to Global Synchronization and State Estimation for Nonlinear Singularly Perturbed Complex Networks.
IEEE Trans. Cybern., 2015

On Design of Robust Fault Detection Filter in Finite-Frequency Domain With Regional Pole Assignment.
IEEE Trans. Circuits Syst. II Express Briefs, 2015

Event-Based H<sub>∞</sub> Consensus Control of Multi-Agent Systems With Relative Output Feedback: The Finite-Horizon Case.
IEEE Trans. Autom. Control., 2015

Event-Based Recursive Distributed Filtering Over Wireless Sensor Networks.
IEEE Trans. Autom. Control., 2015

Finite-Horizon H<sub>∞</sub> Control for Discrete Time-Varying Systems With Randomly Occurring Nonlinearities and Fading Measurements.
IEEE Trans. Autom. Control., 2015

Robust reliable H∞ control for uncertain stochastic spatial-temporal systems: The output feedback case.
J. Frankl. Inst., 2015

Almost sure H∞ filtering for nonlinear hybrid stochastic systems with mode-dependent interval delays.
J. Frankl. Inst., 2015

H∞ control for 2-D time-delay systems with randomly occurring nonlinearities under sensor saturation and missing measurements.
J. Frankl. Inst., 2015

Event-triggered distributed state estimation with randomly occurring uncertainties and nonlinearities over sensor networks: A delay-fractioning approach.
J. Frankl. Inst., 2015

H<sub>∞</sub> state estimation for discrete-time delayed neural networks with randomly occurring quantizations and missing measurements.
Neurocomputing, 2015

A Switching Control Strategy for Energy Efficient Walking on Uneven Surfaces.
Int. J. Humanoid Robotics, 2015

On general systems with network-enhanced complexities.
Int. J. Gen. Syst., 2015

Event-triggered robust distributed state estimation for sensor networks with state-dependent noises.
Int. J. Gen. Syst., 2015

Receding horizon filtering for a class of discrete time-varying nonlinear systems with multiple missing measurements.
Int. J. Gen. Syst., 2015

Filtering and fault detection for nonlinear systems with polynomial approximation.
Autom., 2015

Finite-horizon reliable control with randomly occurring uncertainties and nonlinearities subject to output quantization.
Autom., 2015

Event-triggered consensus control for discrete-time stochastic multi-agent systems: The input-to-state stability in probability.
Autom., 2015

Envelope-constrained <sub>H</sub><sub>∞</sub> filtering with fading measurements and randomly occurring nonlinearities: The finite horizon case.
Autom., 2015

Segmentation of Intra-retinal Layers in 3D Optic Nerve Head Images.
Proceedings of the Image and Graphics - 8th International Conference, 2015

Automated Layer Segmentation of 3D Macular Images Using Hybrid Methods.
Proceedings of the Image and Graphics - 8th International Conference, 2015

2014
Image-Based Quantitative Analysis of Gold Immunochromatographic Strip via Cellular Neural Network Approach.
IEEE Trans. Medical Imaging, 2014

Networked Strong Tracking Filtering with Multiple Packet Dropouts: Algorithms and Applications.
IEEE Trans. Ind. Electron., 2014

H<sub>∞</sub> Fuzzy Control With Randomly Occurring Infinite Distributed Delays and Channel Fadings.
IEEE Trans. Fuzzy Syst., 2014

Fuzzy Filtering With Randomly Occurring Parameter Uncertainties, Interval Delays, and Channel Fadings.
IEEE Trans. Cybern., 2014

On Controllability of Neuronal Networks With Constraints on the Average of Control Gains.
IEEE Trans. Cybern., 2014

Bidirectional Optimization of the Melting Spinning Process.
IEEE Trans. Cybern., 2014

Robust state estimation for two-dimensional stochastic time-delay systems with missing measurements and sensor saturation.
Multidimens. Syst. Signal Process., 2014

Iterative Consensus for a Class of Second-order Multi-agent Systems.
J. Intell. Robotic Syst., 2014

<i>H</i><sub>∞</sub> output-feedback control with randomly occurring distributed delays and nonlinearities subject to sensor saturations and channel fadings.
J. Frankl. Inst., 2014

Sliding mode control for uncertain discrete-time systems with Markovian jumping parameters and mixed delays.
J. Frankl. Inst., 2014

Analysis and control with randomly occurring incomplete information.
Int. J. Syst. Sci., 2014

cDNA microarray adaptive segmentation.
Neurocomputing, 2014

Distributed estimation and control for general systems.
Int. J. Gen. Syst., 2014

Recent advances on distributed filtering for stochastic systems over sensor networks.
Int. J. Gen. Syst., 2014

A fault detection scheme for linear discrete-time systems with an integrated online performance evaluation.
Int. J. Control, 2014

Optimal filtering for networked systems with stochastic sensor gain degradation.
Autom., 2014

Finite-horizon estimation of randomly occurring faults for a class of nonlinear time-varying systems.
Autom., 2014

State estimation for a class of complex networks with event-triggered transmission scheme.
Proceedings of the 20th International Conference on Automation and Computing, 2014

Non-fragile H∞ control with randomly occurring gain variations.
Proceedings of the 20th International Conference on Automation and Computing, 2014

Event-based filtering for discrete time-varying systems.
Proceedings of the 20th International Conference on Automation and Computing, 2014

2013
Gain-Constrained Recursive Filtering With Stochastic Nonlinearities and Probabilistic Sensor Delays.
IEEE Trans. Signal Process., 2013

H<sub>∞</sub> State Estimation for Complex Networks With Uncertain Inner Coupling and Incomplete Measurements.
IEEE Trans. Neural Networks Learn. Syst., 2013

Modeling Throughput of Emergency Departments via Time Series: An Expectation Maximization Algorithm.
ACM Trans. Manag. Inf. Syst., 2013

Least-Squares Fault Detection and Diagnosis for Networked Sensing Systems Using A Direct State Estimation Approach.
IEEE Trans. Ind. Informatics, 2013

Distributed ℋ<sub>∞</sub> Filtering for a Class of Markovian Jump Nonlinear Time-Delay Systems Over Lossy Sensor Networks.
IEEE Trans. Ind. Electron., 2013

Synchronization of Coupled Neutral-Type Neural Networks With Jumping-Mode-Dependent Discrete and Unbounded Distributed Delays.
IEEE Trans. Cybern., 2013

Finite-Horizon H<sub>∞</sub> Fault Estimation for Uncertain Linear Discrete Time-Varying Systems With Known Inputs.
IEEE Trans. Circuits Syst. II Express Briefs, 2013

Time Series Modeling of Nano-Gold Immunochromatographic Assay via Expectation Maximization Algorithm.
IEEE Trans. Biomed. Eng., 2013

Finite-Horizon H<sub>∞</sub> Filtering With Missing Measurements and Quantization Effects.
IEEE Trans. Autom. Control., 2013

<i>H</i><sub><i>∞</i></sub>H∞ consensus control for multi-agent systems with missing measurements: The finite-horizon case.
Syst. Control. Lett., 2013

Analysis on passivity and passification of T-S fuzzy systems with time-varying delays.
J. Intell. Fuzzy Syst., 2013

Distributed weighted robust Kalman filter fusion for uncertain systems with autocorrelated and cross-correlated noises.
Inf. Fusion, 2013

Probability-constrained analysis, filtering and control.
Int. J. Syst. Sci., 2013

State estimation for networked systems with randomly occurring quantisations.
Int. J. Syst. Sci., 2013

State estimation for discrete-time delayed neural networks with fractional uncertainties and sensor saturations.
Neurocomputing, 2013

Quantised recursive filtering for a class of nonlinear systems with multiplicative noises and missing measurements.
Int. J. Control, 2013

Dissipative control for state-saturated discrete time-varying systems with randomly occurring nonlinearities and missing measurements.
Int. J. Control, 2013

A novel neural network approach to cDNA microarray image segmentation.
Comput. Methods Programs Biomed., 2013

State estimation for Markovian Jump Linear Systems with bounded disturbances.
Autom., 2013

Finite-horizon H<sub>∞</sub> fault estimation for linear discrete time-varying systems with delayed measurements.
Autom., 2013

Recursive filtering with random parameter matrices, multiple fading measurements and correlated noises.
Autom., 2013

A constrained optimization approach to dynamic state estimation for power systems including PMU measurements.
Proceedings of the 2013 19th International Conference on Automation and Computing, 2013

Finite-horizon estimation of randomly occurring faults for discrete time-varying systems.
Proceedings of the 2013 19th International Conference on Automation and Computing, 2013

H∞ state estimation for discrete-time systems with fading measurements and randomly varying nonlinearities.
Proceedings of the 2013 19th International Conference on Automation and Computing, 2013

2012
Distributed Filtering for a Class of Time-Varying Systems Over Sensor Networks With Quantization Errors and Successive Packet Dropouts.
IEEE Trans. Signal Process., 2012

Fuzzy-Model-Based Robust Fault Detection With Stochastic Mixed Time Delays and Successive Packet Dropouts.
IEEE Trans. Syst. Man Cybern. Part B, 2012

Distributed state estimation in sensor networks with randomly occurring nonlinearities subject to time delays.
ACM Trans. Sens. Networks, 2012

Robust Synchronization for 2-D Discrete-Time Coupled Dynamical Networks.
IEEE Trans. Neural Networks Learn. Syst., 2012

H<sub>∞</sub> State Estimation for Discrete-Time Complex Networks With Randomly Occurring Sensor Saturations and Randomly Varying Sensor Delays.
IEEE Trans. Neural Networks Learn. Syst., 2012

Robust Sliding Mode Control for Discrete Stochastic Systems With Mixed Time Delays, Randomly Occurring Uncertainties, and Randomly Occurring Nonlinearities.
IEEE Trans. Ind. Electron., 2012

Leakage Fault Diagnosis for an Internet-Based Three-Tank System: An Experimental Study.
IEEE Trans. Control. Syst. Technol., 2012

Optimal Control of a Fractional-Order HIV-Immune System With Memory.
IEEE Trans. Control. Syst. Technol., 2012

A Hybrid EKF and Switching PSO Algorithm for Joint State and Parameter Estimation of Lateral Flow Immunoassay Models.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

A Constrained Evolutionary Computation Method for Detecting Controlling Regions of Cortical Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Fault Detection for Markovian Jump Systems With Sensor Saturations and Randomly Varying Nonlinearities.
IEEE Trans. Circuits Syst. I Regul. Pap., 2012

Quantized H<sub>∞</sub> Control for Nonlinear Stochastic Time-Delay Systems With Missing Measurements.
IEEE Trans. Autom. Control., 2012

Sampled-Data Synchronization Control of Dynamical Networks With Stochastic Sampling.
IEEE Trans. Autom. Control., 2012

On design of quantized fault detection filters with randomly occurring nonlinearities and mixed time-delays.
Signal Process., 2012

Probability-guaranteed H<sub>∞</sub> finite-horizon filtering for a class of nonlinear time-varying systems with sensor saturations.
Syst. Control. Lett., 2012

State Estimation for Discrete-Time Neural Networks with Markov-Mode-Dependent Lower and Upper Bounds on the Distributed Delays.
Neural Process. Lett., 2012

Robust <i>H</i><sub>∞</sub> sliding mode control for discrete time-delay systems with stochastic nonlinearities.
J. Frankl. Inst., 2012

Stability analysis for a class of neutral-type neural networks with Markovian jumping parameters and mode-dependent mixed delays.
Neurocomputing, 2012

A new framework for consensus for discrete-time directed networks of multi-agents with distributed delays.
Int. J. Control, 2012

Pinning impulsive stabilization of nonlinear Dynamical Networks with Time-Varying Delay.
Int. J. Bifurc. Chaos, 2012

H<sub>∞</sub> filtering with randomly occurring sensor saturations and missing measurements.
Autom., 2012

Extended Kalman filtering with stochastic nonlinearities and multiple missing measurements.
Autom., 2012

Distributed H<sub>∞</sub> state estimation with stochastic parameters and nonlinearities through sensor networks: The finite-horizon case.
Autom., 2012

Distributed filtering in sensor networks with hybrid communication constraints.
Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012

Cellular Neural Networks for Gold Immunochromatographic Strip Image Segmentation.
Proceedings of the Health Information Science - First International Conference, 2012

2011
Robust <i>H</i><sub>infty</sub> Filtering for Markovian Jump Systems With Randomly Occurring Nonlinearities and Sensor Saturation: The Finite-Horizon Case.
IEEE Trans. Signal Process., 2011

Consensus Analysis of Multiagent Networks via Aggregated and Pinning Approaches.
IEEE Trans. Neural Networks, 2011

Bounded H<sub>infty</sub> Synchronization and State Estimation for Discrete Time-Varying Stochastic Complex Networks Over a Finite Horizon.
IEEE Trans. Neural Networks, 2011

Distributed State Estimation for Discrete-Time Sensor Networks With Randomly Varying Nonlinearities and Missing Measurements.
IEEE Trans. Neural Networks, 2011

Cellular Neural Networks, the Navier-Stokes Equation, and Microarray Image Reconstruction.
IEEE Trans. Image Process., 2011

Distributed H<sub>∞</sub> Filtering for Polynomial Nonlinear Stochastic Systems in Sensor Networks.
IEEE Trans. Ind. Electron., 2011

Probability-Dependent Gain-Scheduled Filtering for Stochastic Systems With Missing Measurements.
IEEE Trans. Circuits Syst. II Express Briefs, 2011

A Stochastic Sampled-Data Approach to Distributed H<sub>infty </sub> Filtering in Sensor Networks.
IEEE Trans. Circuits Syst. I Regul. Pap., 2011

Inference of Nonlinear State-Space Models for Sandwich-Type Lateral Flow Immunoassay Using Extended Kalman Filtering.
IEEE Trans. Biomed. Eng., 2011

Robust Fault Detection for Networked Systems with Distributed Sensors.
IEEE Trans. Aerosp. Electron. Syst., 2011

Reliable H<sub>∞</sub> filtering for discrete time-delay systems with randomly occurred nonlinearities via delay-partitioning method.
Signal Process., 2011

A game theory approach to mixed H<sub>2</sub>/H<sub>∞</sub> control for a class of stochastic time-varying systems with randomly occurring nonlinearities.
Syst. Control. Lett., 2011

Controller design for synchronization of an array of delayed neural networks using a controllable probabilistic PSO.
Inf. Sci., 2011

A delay fractioning approach to robust sliding mode control for discrete-time stochastic systems with randomly occurring non-linearities.
IMA J. Math. Control. Inf., 2011

Sliding mode control for a class of nonlinear discrete-time networked systems with multiple stochastic communication delays.
Int. J. Syst. Sci., 2011

Reliable <i>H</i><sub>∞</sub> control for discrete uncertain time-delay systems with randomly occurring nonlinearities: the output feedback case.
Int. J. Syst. Sci., 2011

Finite-horizon <i>ℋ</i><sub>2</sub>/<i>ℋ</i><sub>∞</sub> control for a class of nonlinear Markovian jump systems with probabilistic sensor failures.
Int. J. Control, 2011

Parameters identification of unknown delayed genetic regulatory networks by a switching particle swarm optimization algorithm.
Expert Syst. Appl., 2011

Recursive Robust Filtering with Finite-Step Correlated Process Noises and Missing Measurements.
Circuits Syst. Signal Process., 2011

Positivity-preserving H<sub>∞</sub> model reduction for positive systems.
Autom., 2011

Feedback learning particle swarm optimization.
Appl. Soft Comput., 2011

Fuzzy Cognitive Maps Theory for the Political Domainn.
Proceedings of the Federated Conference on Computer Science and Information Systems, 2011

2010
Variance-constrained H∞ filtering for a class of nonlinear time-varying systems with multiple missing measurements: the finite-horizon case.
IEEE Trans. Signal Process., 2010

Robust H∞ filtering for a class of nonlinear networked systems with multiple stochastic communication delays and packet dropouts.
IEEE Trans. Signal Process., 2010

On Robust Stability of Stochastic Genetic Regulatory Networks With Time Delays: A Delay Fractioning Approach.
IEEE Trans. Syst. Man Cybern. Part B, 2010

On Passivity and Passification of Stochastic Fuzzy Systems With Delays: The Discrete-Time Case.
IEEE Trans. Syst. Man Cybern. Part B, 2010

Global synchronization for discrete-time stochastic complex networks with randomly occurred nonlinearities and mixed time delays.
IEEE Trans. Neural Networks, 2010

Robust H<sub>∞</sub> Fuzzy Output-Feedback Control With Multiple Probabilistic Delays and Multiple Missing Measurements.
IEEE Trans. Fuzzy Syst., 2010

Error-Constrained Filtering for a Class of Nonlinear Time-Varying Delay Systems With Non-Gaussian Noises.
IEEE Trans. Autom. Control., 2010

Exponential Stabilization of a Class of Stochastic System With Markovian Jump Parameters and Mode-Dependent Mixed Time-Delays.
IEEE Trans. Autom. Control., 2010

Robust <i>H</i><sub>∞</sub> Finite-Horizon Control for a Class of Stochastic Nonlinear Time-Varying Systems Subject to Sensor and Actuator Saturations.
IEEE Trans. Autom. Control., 2010

Robust variance-constrained filtering for a class of nonlinear stochastic systems with missing measurements.
Signal Process., 2010

Robust passivity and passification of stochastic fuzzy time-delay systems.
Inf. Sci., 2010

Dynamics analysis of gene regulatory networks.
Int. J. Syst. Sci., 2010

Fault detection for discrete-time systems in a networked environment.
Int. J. Syst. Sci., 2010

Synchronization of stochastic genetic oscillator networks with time delays and Markovian jumping parameters.
Neurocomputing, 2010

Robust state estimation for discrete-time stochastic neural networks with probabilistic measurement delays.
Neurocomputing, 2010

Controllability of multi-agent systems with time-delay in state and switching topology.
Int. J. Control, 2010

New results on passivity analysis of uncertain neural networks with time-varying delays.
Int. J. Comput. Math., 2010

A multi-view approach to cDNA micro-array analysis.
Int. J. Comput. Biol. Drug Des., 2010

A note on control of a class of discrete-time stochastic systems with distributed delays and nonlinear disturbances.
Autom., 2010

Robust H<sub>infinity</sub> finite-horizon filtering with randomly occurred nonlinearities and quantization effects.
Autom., 2010

Distributed H<sub>∞</sub>-consensus filtering in sensor networks with multiple missing measurements: The finite-horizon case.
Autom., 2010

Robust finite-horizon filtering of time-varying networked systems with error variance constraints.
Proceedings of the 8th IEEE International Conference on Control and Automation, 2010

H∞ model reduction for positive systems.
Proceedings of the American Control Conference, 2010

2009
On Synchronization of Coupled Delayed Neural Networks.
Proceedings of the Recent Advances in Nonlinear Dynamics and Synchronization: Theory and Applications, 2009

Stabilization of Systems With Probabilistic Interval Input Delays and Its Applications to Networked Control Systems.
IEEE Trans. Syst. Man Cybern. Part A, 2009

Distributed Consensus Filtering in Sensor Networks.
IEEE Trans. Syst. Man Cybern. Part B, 2009

Pinning Stabilization of Linearly Coupled Stochastic Neural Networks via Minimum Number of Controllers.
IEEE Trans. Neural Networks, 2009

Stability and Synchronization of Discrete-Time Markovian Jumping Neural Networks With Mixed Mode-Dependent Time Delays.
IEEE Trans. Neural Networks, 2009

State Estimation for Coupled Uncertain Stochastic Networks With Missing Measurements and Time-Varying Delays: The Discrete-Time Case.
IEEE Trans. Neural Networks, 2009

Robust H<sub>∞</sub> Control for Discrete-Time Fuzzy Systems With Infinite-Distributed Delays.
IEEE Trans. Fuzzy Syst., 2009

H<sub>∞</sub> Fuzzy Control for Systems With Repeated Scalar Nonlinearities and Random Packet Losses.
IEEE Trans. Fuzzy Syst., 2009

An Extended Kalman Filtering Approach to Modeling Nonlinear Dynamic Gene Regulatory Networks via Short Gene Expression Time Series.
IEEE ACM Trans. Comput. Biol. Bioinform., 2009

Robust Filtering With Randomly Varying Sensor Delay: The Finite-Horizon Case.
IEEE Trans. Circuits Syst. I Regul. Pap., 2009

Filtering for Networked Stochastic Time-Delay Systems With Sector Nonlinearity.
IEEE Trans. Circuits Syst. II Express Briefs, 2009

Robust H<sub>∞</sub> Filtering for Time-Delay Systems With Probabilistic Sensor Faults.
IEEE Signal Process. Lett., 2009

Fuzzy filtering of nonlinear fuzzy stochastic systems with time-varying delay.
Signal Process., 2009

H<sub>∞</sub> filtering for systems with repeated scalar nonlinearities under unreliable communication links.
Signal Process., 2009

On Global Stability of Delayed BAM Stochastic Neural Networks with Markovian Switching.
Neural Process. Lett., 2009

State estimation for jumping recurrent neural networks with discrete and distributed delays.
Neural Networks, 2009

Asymptotic stability for neural networks with mixed time-delays: The discrete-time case.
Neural Networks, 2009

Global asymptotic stability of uncertain stochastic bi-directional associative memory networks with discrete and distributed delays.
Math. Comput. Simul., 2009

Guaranteed cost control of switched systems with neutral delay via dynamic output feedback.
Int. J. Syst. Sci., 2009

Analysis and synchronization of complex networks.
Int. J. Syst. Sci., 2009

Robust synchronisation of delayed neural networks with both linear and non-linear couplings.
Int. J. Syst. Sci., 2009

Passivity analysis of discrete-time stochastic neural networks with time-varying delays.
Neurocomputing, 2009

Global Synchronization in an Array of Discrete-Time Neural Networks with Nonlinear Coupling and Time-Varying Delays.
Int. J. Neural Syst., 2009

Robust filtering with stochastic nonlinearities and multiple missing measurements.
Autom., 2009

Reliable H<sub>∞</sub> control for discrete-time piecewise linear systems with infinite distributed delays.
Autom., 2009

Robust H<sub>∞</sub> control for a class of nonlinear discrete time-delay stochastic systems with missing measurements.
Autom., 2009

H<sub>∞</sub> filtering for nonlinear discrete-time stochastic systems with randomly varying sensor delays.
Autom., 2009

Observer-based networked control for continuous-time systems with random sensor delays.
Autom., 2009

Interconnection topologies for multi-agent coordination under leader-follower framework.
Autom., 2009

Robust fault detection for networked systems with communication delay and data missing.
Autom., 2009

On H<sub>infinity</sub> control with multiple packet dropouts: Dealing with repeated scalar nonlinearities.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Guest Editorial Foreword to the Special Issue on Intelligent Computation for Bioinformatics.
IEEE Trans. Syst. Man Cybern. Part C, 2008

Synchronization and State Estimation for Discrete-Time Complex Networks With Distributed Delays.
IEEE Trans. Syst. Man Cybern. Part B, 2008

Global Synchronization Control of General Delayed Discrete-Time Networks With Stochastic Coupling and Disturbances.
IEEE Trans. Syst. Man Cybern. Part B, 2008

Robust Synchronization of an Array of Coupled Stochastic Discrete-Time Delayed Neural Networks.
IEEE Trans. Neural Networks, 2008

Grid Service Discovery with Rough Sets.
IEEE Trans. Knowl. Data Eng., 2008

Filtering for Nonlinear Genetic Regulatory Networks With Stochastic Disturbances.
IEEE Trans. Autom. Control., 2008

On Nonlinear H<sub>∞</sub> Filtering for Discrete-Time Stochastic Systems With Missing Measurements.
IEEE Trans. Autom. Control., 2008

Robust L<sub>2</sub>-L<sub>infinity</sub> control of uncertain differential linear repetitive processes.
Syst. Control. Lett., 2008

Can graph-cutting improve microarray gene expression reconstructions?
Pattern Recognit. Lett., 2008

Networked fault detection with random communication delays and packet losses.
Int. J. Syst. Sci., 2008

Robust stability of discrete-time stochastic neural networks with time-varying delays.
Neurocomputing, 2008

Complex networks.
Int. J. Comput. Math., 2008

On synchronization of coupled neural networks with discrete and unbounded distributed delays.
Int. J. Comput. Math., 2008

H<sub>∞</sub> filtering for uncertain stochastic time-delay systems with sector-bounded nonlinearities.
Autom., 2008

Filtering for Nonlinear Discrete-Time Networked Control Systems with Incomplete Measurements and Stochastic Disturbances.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008

2007
Robust H<sub>infty</sub> Control for Networked Systems With Random Packet Losses.
IEEE Trans. Syst. Man Cybern. Part B, 2007

Robust H<sub>∞</sub> Control With Missing Measurements and Time Delays.
IEEE Trans. Autom. Control., 2007

Filtering for uncertain 2-D discrete systems with state delays.
Signal Process., 2007

Delay-dependent stabilization of stochastic interval delay systems with nonlinear disturbances.
Syst. Control. Lett., 2007

Exponential synchronization of stochastic perturbed chaotic delayed neural networks.
Neurocomputing, 2007

A delay-dependent approach to <i>H</i><sub>∞</sub> filtering for stochastic delayed jumping systems with sensor non-linearities.
Int. J. Control, 2007

Robust <i>H</i><sub>∞</sub> filtering for networked systems with multiple state delays.
Int. J. Control, 2007

Robust filtering for gene expression time series data with variance constraints.
Int. J. Comput. Math., 2007

Preface.
Int. J. Comput. Math., 2007

Microarray subgrid detection: a novel algorithm.
Int. J. Comput. Math., 2007

Noise Filtering and Microarray Image Reconstruction Via Chained Fouriers.
Proceedings of the Advances in Intelligent Data Analysis VII, 2007

An Observer-Based Chaotic Synchronization Scheme for Time-Delay Secure Communication Systems.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2007

2006
Robust H<sub>∞</sub> filtering for stochastic time-delay systems with missing measurements.
IEEE Trans. Signal Process., 2006

Stability analysis for stochastic Cohen-Grossberg neural networks with mixed time delays.
IEEE Trans. Neural Networks, 2006

Robust H<sub>2</sub> filtering for a class of systems with stochastic nonlinearities.
IEEE Trans. Circuits Syst. II Express Briefs, 2006

H<sub>∞</sub> control for networked systems with random communication delays.
IEEE Trans. Autom. Control., 2006

Robust H<sub>∞</sub> filter design with variance constraints and parabolic pole assignment.
IEEE Signal Process. Lett., 2006

Global exponential stability of generalized recurrent neural networks with discrete and distributed delays.
Neural Networks, 2006

On global exponential stability of generalized stochastic neural networks with mixed time-delays.
Neurocomputing, 2006

On designing robust controllers under randomly varying sensor delay with variance constraints.
Int. J. Gen. Syst., 2006

Special issue for analysis and control of complex systems: guest editorial.
Int. J. Gen. Syst., 2006

Observer design for complex systems in the presence of uncertainties, nonlinearities and distributed delays.
Int. J. Gen. Syst., 2006

Robust H2/H∞ Filtering for Uncertain Systems with Missing Measurement.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2005
Variance-Constrained Control for Uncertain Stochastic Systems With Missing Measurements.
IEEE Trans. Syst. Man Cybern. Part A, 2005

State estimation for delayed neural networks.
IEEE Trans. Neural Networks, 2005

Robust finite-horizon filtering for stochastic systems with missing measurements.
IEEE Signal Process. Lett., 2005

Improved <i>H</i><sub>infinite</sub> control of discrete-time fuzzy systems: a cone complementarity linearization approach.
Inf. Sci., 2005

Reliable stabilization of stochastic time-delay systems with nonlinear disturbances.
Int. J. Gen. Syst., 2005

Pyramidic Clustering of Large-Scale Microarray Images.
Comput. J., 2005

2004
A note on the robust stability of uncertain stochastic fuzzy systems with time-delays.
IEEE Trans. Syst. Man Cybern. Part A, 2004

Exponential filtering for uncertain Markovian jump time-delay systems with nonlinear disturbances.
IEEE Trans. Circuits Syst. II Express Briefs, 2004

Robust filtering under randomly varying sensor delay with variance constraints.
IEEE Trans. Circuits Syst. II Express Briefs, 2004

Robust filtering for discrete-time Markovian jump delay systems.
IEEE Signal Process. Lett., 2004

Robust filtering for systems with stochastic nonlinearities and deterministic uncertainties.
Proceedings of the 8th International Conference on Control, 2004

"Copasetic analysis": automated analysis of biological gene expression images.
Proceedings of the 8th International Conference on Control, 2004

"Copasetic Clustering": Making Sense of Large-Scale Images.
Proceedings of the Data Mining and Knowledge Management, 2004

2003
Nonlinear filtering for state delayed systems with Markovian switching.
IEEE Trans. Signal Process., 2003

On designing H<sub>∞</sub> filters with circular pole and error variance constraints.
IEEE Trans. Circuits Syst. II Express Briefs, 2003

Variance-constrained filtering for uncertain stochastic systems with missing measurements.
IEEE Trans. Autom. Control., 2003

Robust stability of two-dimensional uncertain discrete systems.
IEEE Signal Process. Lett., 2003

Filtering on nonlinear time-delay stochastic systems.
Autom., 2003

Robust filtering under randomly varying sensor delay with variance constraints.
Proceedings of the 7th European Control Conference, 2003

2002
Robust filtering for bilinear uncertain stochastic discrete-time systems.
IEEE Trans. Signal Process., 2002

Multiobjective control of a four-link flexible manipulator: a robust H<sub>∞</sub> approach.
IEEE Trans. Control. Syst. Technol., 2002

Robust Kalman filtering for discrete time-varying uncertain systems with multiplicative noises.
IEEE Trans. Autom. Control., 2002

On stabilization of bilinear uncertain time-delay stochastic systems with Markovian jumping parameters.
IEEE Trans. Autom. Control., 2002

Stability analysis and observer design for neutral delay systems.
IEEE Trans. Autom. Control., 2002

2001
Sampled-data filtering with error covariance assignment.
IEEE Trans. Signal Process., 2001

Robust filtering for a class of stochastic uncertain nonlinear time-delay systems via exponential state estimation.
IEEE Trans. Signal Process., 2001

Robust reliable control for a class of uncertain nonlinear systems with time-varying multistate time delays.
Int. J. Syst. Sci., 2001

LMI-based robust H<sup>infinity</sup> control of uncertain linear jump systems with time-delays.
Autom., 2001

2000
Robust H<sub>2</sub>/H<sub>∞</sub> filtering for linear systems with error variance constraints.
IEEE Trans. Signal Process., 2000

Nonlinear observers for a class of continuous-time uncertain state delayed systems.
Int. J. Syst. Sci., 2000

A class of nonlinear observers for discrete-time systems with parametric uncertainty.
Int. J. Syst. Sci., 2000

Variance-constrained multiobjective filtering for uncertain continuous-time stochastic systems.
Int. J. Syst. Sci., 2000

Robust H<i>infinity</i> Control for Systems with Time-varying Parameter Uncertainty and Variance Constraints.
Cybern. Syst., 2000

1999
Model reduction based on regional pole and covariance equivalent realizations.
IEEE Trans. Autom. Control., 1999

Robust H<sub>2</sub>/H<sub>∞</sub>-state estimation for systems with error variance constraints: the continuous-time case.
IEEE Trans. Autom. Control., 1999

Robust <i>H</i><sub>infinity</sub> observer design of linear state delayed systems with parametric uncertainty: the discrete-time case.
Autom., 1999

Robust reliable control for a class of uncertain nonlinear state-delayed systems.
Autom., 1999

1998
Robust state observer design guaranteeing D-stability.
Int. J. Syst. Sci., 1998

1997
Robust H<sub>2</sub>/H<sub>∞</sub>-state estimation for discrete-time systems with error variance constraints.
IEEE Trans. Autom. Control., 1997


  Loading...