Chunhua Yang
Orcid: 0000-0003-2550-1509Affiliations:
- Central South University, School of Automation, Changsha, China
According to our database1,
Chunhua Yang
authored at least 283 papers
between 2002 and 2024.
Collaborative distances:
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Bibliography
2024
Detecting Intelligent Load Redistribution Attack Based on Power Load Pattern Learning in Cyber-Physical Power Systems.
IEEE Trans. Ind. Electron., June, 2024
Knowledge-Informed Neural Network for Nonlinear Model Predictive Control With Industrial Applications.
IEEE Trans. Syst. Man Cybern. Syst., April, 2024
Attention-Based Interval Aided Networks for Data Modeling of Heterogeneous Sampling Sequences With Missing Values in Process Industry.
IEEE Trans. Ind. Informatics, April, 2024
PMSA-DyTr: Prior-Modulated and Semantic-Aligned Dynamic Transformer for Strip Steel Defect Detection.
IEEE Trans. Ind. Informatics, April, 2024
IEEE Trans. Ind. Informatics, April, 2024
A Novel Sensing Imaging Equipment Under Extremely Dim Light for Blast Furnace Burden Surface: Starlight High-Temperature Industrial Endoscope.
IEEE CAA J. Autom. Sinica, April, 2024
A Spatial-Temporal Variational Graph Attention Autoencoder Using Interactive Information for Fault Detection in Complex Industrial Processes.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
ADP-Based Event-Triggered Constrained Optimal Control on Spatiotemporal Process: Application to Temperature Field in Roller Kiln.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Error-Triggered Adaptive Sparse Identification for Predictive Control and Its Application to Multiple Operating Conditions Processes.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Boundary Optimal Control for Parabolic Distributed Parameter Systems With Value Iteration.
IEEE Trans. Cybern., March, 2024
Adaptive Distributed Boundary Vibration Control of Multiagent Euler-Bernoulli Beams via Cooperative Disturbance Observer Network.
IEEE Syst. J., March, 2024
Adaptive Exponential Fault Estimation for 1-D Linear Parabolic PDEs With Process Uncertainties.
IEEE Trans. Syst. Man Cybern. Syst., February, 2024
Adaptive Neural Tracking Control of a Class of Hyperbolic PDE With Uncertain Actuator Dynamics.
IEEE Trans. Cybern., February, 2024
Multiscale Feature Fusion and Semi-Supervised Temporal-Spatial Learning for Performance Monitoring in the Flotation Industrial Process.
IEEE Trans. Cybern., February, 2024
Metric Learning-Based Fault Diagnosis and Anomaly Detection for Industrial Data With Intraclass Variance.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
Knowledge-Data-Based Synchronization States Analysis for Process Monitoring and Its Application to Hydrometallurgical Zinc Purification Process.
IEEE Trans. Ind. Informatics, January, 2024
Fault Diagnosis of Complex Industrial Systems Based on Multi-Granularity Dictionary Learning and Its Application.
IEEE Trans Autom. Sci. Eng., January, 2024
Neural Networks, January, 2024
Multimodal Data-Driven Reinforcement Learning for Operational Decision-Making in Industrial Processes.
IEEE CAA J. Autom. Sinica, January, 2024
Lane-Keeping Control of Automatic Steering Systems via Adaptive Fuzzy Sliding-Mode Approach.
IEEE Trans. Syst. Man Cybern. Syst., 2024
Variable Correlation Analysis-Based Convolutional Neural Network for Far Topological Feature Extraction and Industrial Predictive Modeling.
IEEE Trans. Instrum. Meas., 2024
A Low-Dimensional Space-Based Redundancy Minimization Semisupervised Modeling Method for Total Nitrogen Detection.
IEEE Trans. Instrum. Meas., 2024
IEEE Trans. Instrum. Meas., 2024
Multirate-Former: An Efficient Transformer-Based Hierarchical Network for Multistep Prediction of Multirate Industrial Processes.
IEEE Trans. Instrum. Meas., 2024
Adv. Eng. Informatics, 2024
2023
An interactive feature selection method based on multi-step state transition algorithm for high-dimensional data.
Knowl. Based Syst., December, 2023
LSTM-MPC: A Deep Learning Based Predictive Control Method for Multimode Process Control.
IEEE Trans. Ind. Electron., November, 2023
Rotary Kiln Temperature Control Under Multiple Operating Conditions: an Error-Triggered Adaptive Model Predictive Control Solution.
IEEE Trans. Control. Syst. Technol., November, 2023
Adaptive Fuzzy Boundary Observer Design for Uncertain Linear Coupled Hyperbolic Partial Differential Equation Systems.
IEEE Trans. Fuzzy Syst., October, 2023
A Federated Dictionary Learning Method for Process Monitoring With Industrial Applications.
IEEE Trans. Artif. Intell., October, 2023
MO-MIX: Multi-Objective Multi-Agent Cooperative Decision-Making With Deep Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023
TSDTVOS: Target-guided spatiotemporal dual-stream transformers for video object segmentation.
Neurocomputing, October, 2023
A constrained multi-objective deep reinforcement learning approach for temperature field optimization of zinc oxide rotary volatile kiln.
Adv. Eng. Informatics, October, 2023
MCTAN: A Novel Multichannel Temporal Attention-Based Network for Industrial Health Indicator Prediction.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Data-Driven State Transition Algorithm for Fuzzy Chance-Constrained Dynamic Optimization.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Ingot oxide slag detection using two-stage UNet network based on mixed supervised learning.
Neural Comput. Appl., September, 2023
Predictive hierarchical reinforcement learning for path-efficient mapless navigation with moving target.
Neural Networks, August, 2023
A visual analytics approach for multi-attribute decision making based on intuitionistic fuzzy AHP and UMAP.
Inf. Fusion, August, 2023
Nonlinear MPC based on elastic autoregressive fuzzy neural network with roasting process application.
Expert Syst. Appl., August, 2023
Brain-inspired STA for parameter estimation of fractional-order memristor-based chaotic systems.
Appl. Intell., August, 2023
Neuron-Compressed Deep Neural Network and Its Application in Industrial Anomaly Detection.
IEEE Trans. Ind. Informatics, July, 2023
IEEE Trans. Autom. Control., July, 2023
Multichannel Domain Adaptation Graph Convolutional Networks-Based Fault Diagnosis Method and With Its Application.
IEEE Trans. Ind. Informatics, June, 2023
Adaptive Multimode Process Monitoring Based on Mode-Matching and Similarity-Preserving Dictionary Learning.
IEEE Trans. Cybern., June, 2023
Event-Triggered Optimal Control for Temperature Field of Roller Kiln Based on Adaptive Dynamic Programming.
IEEE Trans. Cybern., May, 2023
Nonstationary Industrial Process Monitoring Based on Stationary Projective Dictionary Learning.
IEEE Trans. Control. Syst. Technol., May, 2023
Integral Event-Triggered Attack-Resilient Control of Aircraft-on-Ground Synergistic Turning System With Uncertain Tire Cornering Stiffness.
IEEE CAA J. Autom. Sinica, May, 2023
A novel adaptive optimization method for deep learning with application to froth floatation monitoring.
Appl. Intell., May, 2023
An Improved Co-Design Method of Dynamical Controller and Asynchronous Integral-Type Event-Triggered Mechanisms.
IEEE Trans. Syst. Man Cybern. Syst., April, 2023
Cluster-based industrial KPIs forecasting considering the periodicity and holiday effect using LSTM network and MSVR.
Adv. Eng. Informatics, April, 2023
A novel total nitrogen prediction method based on recurrent neural networks utilizing cross-coupling attention and selective attention.
Neurocomputing, March, 2023
Leader-following consensus of linear multi-agent systems via reset control: A time-varying systems approach.
Autom., March, 2023
LSTMED: An uneven dynamic process monitoring method based on LSTM and Autoencoder neural network.
Neural Networks, January, 2023
Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks.
IEEE Trans. Netw. Sci. Eng., 2023
IEEE Trans. Netw. Sci. Eng., 2023
Revolutionizing Flotation Process Working Condition Identification Based on Froth Audio.
IEEE Trans. Instrum. Meas., 2023
Temperature Field Prediction Model for Zinc Oxide Rotary Volatile Kiln Based on the Fusion of Thermodynamics and Infrared Images.
IEEE Trans. Instrum. Meas., 2023
Rain-Like Layer Removal From Hot-Rolled Steel Strip Based on Attentive Dual Residual Generative Adversarial Network.
IEEE Trans. Instrum. Meas., 2023
Multiple Harmonic Information Fusion for Residual Oxygen Concentration Analysis of Pharmaceutical Glass Vials.
IEEE Trans. Instrum. Meas., 2023
Abnormal Operating Condition Identification of Industrial Processes Based on Deep Learning With Global-Local Slow Feature Analysis.
IEEE Trans. Instrum. Meas., 2023
Oversmoothing Relief Graph Convolutional Network-Based Fault Diagnosis Method With Application to the Rectifier of High-Speed Trains.
IEEE Trans. Ind. Informatics, 2023
Data Mode Related Interpretable Transformer Network for Predictive Modeling and Key Sample Analysis in Industrial Processes.
IEEE Trans. Ind. Informatics, 2023
Trustworthiness of Process Monitoring in IIoT Based on Self-Weighted Dictionary Learning.
IEEE Trans. Ind. Informatics, 2023
Geometric Feature Mining for the Residual Oxygen Measurement of Pharmaceutical Glass Vials on a Filling Production Line.
IEEE Trans. Ind. Electron., 2023
Imputation of Missing Values in Time Series Using an Adaptive-Learned Median-Filled Deep Autoencoder.
IEEE Trans. Cybern., 2023
Robust Structure Identification of Industrial Cyber-Physical System From Sparse Data: A Network Science Perspective.
IEEE Trans Autom. Sci. Eng., 2023
Association Hierarchical Representation Learning for Plant-Wide Process Monitoring by Using Multilevel Knowledge Graph.
IEEE Trans. Artif. Intell., 2023
Neural Networks, 2023
A hierarchical evolution of neural architecture search method based on state transition algorithm.
Int. J. Mach. Learn. Cybern., 2023
A Systematic Procurement Supply Chain Optimization Technique Based on Industrial Internet of Things and Application.
IEEE Internet Things J., 2023
A cascaded modeling approach for comprehensive reaction state perception of a hydrometallurgical reactor.
Eng. Appl. Artif. Intell., 2023
Semi-supervised LSTM with historical feature fusion attention for temporal sequence dynamic modeling in industrial processes.
Eng. Appl. Artif. Intell., 2023
An improved TOPSIS-based multi-criteria decision-making approach for evaluating the working condition of the aluminum reduction cell.
Eng. Appl. Artif. Intell., 2023
Operation Output-Feedback Predictive Control Based on Model Order Reduction and Predictive Optimization in Industrial Processes.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
An Ontology for Industrial Intelligent Model Library and Its Distributed Computing Application.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Reinforcement Learning-based Operational Decision-Making in the Process Industry Using Multi-View Data.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Performance Monitoring and Trend Visualization of Chillers Based on Principal Component Analysis and Its Application.
Proceedings of the CAA Symposium on Fault Detection, 2023
2022
IEEE Trans. Syst. Man Cybern. Syst., 2022
Deep Neural Network-Embedded Stochastic Nonlinear State-Space Models and Their Applications to Process Monitoring.
IEEE Trans. Neural Networks Learn. Syst., 2022
Fault Diagnosis of Hydraulic Systems Based on Deep Learning Model With Multirate Data Samples.
IEEE Trans. Neural Networks Learn. Syst., 2022
Layer-Wise Residual-Guided Feature Learning With Deep Learning Networks for Industrial Quality Prediction.
IEEE Trans. Instrum. Meas., 2022
CAT-EDNet: Cross-Attention Transformer-Based Encoder-Decoder Network for Salient Defect Detection of Strip Steel Surface.
IEEE Trans. Instrum. Meas., 2022
Harmonic Amplitude Pass Probability: A Lightweight Signal Descriptor for Oxygen Concentration Detection in Pharmaceutical Glass Vials.
IEEE Trans. Instrum. Meas., 2022
Unified Stationary and Nonstationary Data Representation for Process Monitoring in IIoT.
IEEE Trans. Instrum. Meas., 2022
Industrial Process Modeling and Monitoring Based on Jointly Specific and Shared Dictionary Learning.
IEEE Trans. Instrum. Meas., 2022
A Novel Semisupervised Regression Method for Online Total Nitrogen Detection Using Double Structural Sparse Feature Extraction.
IEEE Trans. Instrum. Meas., 2022
A Novel Soft Sensor Modeling Approach Based on Difference-LSTM for Complex Industrial Process.
IEEE Trans. Ind. Informatics, 2022
Cloud-Edge Collaborative Method for Industrial Process Monitoring Based on Error-Triggered Dictionary Learning.
IEEE Trans. Ind. Informatics, 2022
MPA-RNN: A Novel Attention-Based Recurrent Neural Networks for Total Nitrogen Prediction.
IEEE Trans. Ind. Informatics, 2022
IEEE Trans. Fuzzy Syst., 2022
IEEE Trans. Cybern., 2022
Consensus for Second-Order Discrete-Time Agents With Position Constraints and Delays.
IEEE Trans. Cybern., 2022
Graph Convolutional Network-Based Method for Fault Diagnosis Using a Hybrid of Measurement and Prior Knowledge.
IEEE Trans. Cybern., 2022
IEEE Trans Autom. Sci. Eng., 2022
Voltage and Current Sensor Fault Diagnosis Method for Traction Converter with Two Stator Current Sensors.
Sensors, 2022
High-Precision Real-Time Detection of Blast Furnace Stockline Based on High-Dimensional Spatial Characteristics.
Sensors, 2022
A Monitoring Method Based on FDALM and Its Application in the Sintering Process of Ternary Cathode Material.
Sensors, 2022
Real-Time Detection and Short-Term Prediction of Blast Furnace Burden Level Based on Space-Time Fusion Features.
Sensors, 2022
Scale-selective and noise-robust extended local binary pattern for texture classification.
Pattern Recognit., 2022
Nonlinear bilevel programming approach for decentralized supply chain using a hybrid state transition algorithm.
Knowl. Based Syst., 2022
Knowl. Based Syst., 2022
New mode cold start monitoring in industrial processes: A solution of spatial-temporal feature transfer.
Knowl. Based Syst., 2022
Extended dissipative analysis and taxiing control of fuzzy model based aircraft-on-ground systems via sliding mode approach.
J. Frankl. Inst., 2022
A multimode mechanism-guided product quality estimation approach for multi-rate industrial processes.
Inf. Sci., 2022
Stacked maximal quality-driven autoencoder: Deep feature representation for soft analyzer and its application on industrial processes.
Inf. Sci., 2022
Static and Dynamic Joint Analysis for Operation Condition Division of Industrial Process With Incremental Learning.
IEEE Internet Things J., 2022
Video object segmentation based on multi-level target models and feature integration.
Neurocomputing, 2022
VAE4RSS: A VAE-based neural network approach for robust soft sensor with application to zinc roasting process.
Eng. Appl. Artif. Intell., 2022
Spatial-temporal associations representation and application for process monitoring using graph convolution neural network.
CoRR, 2022
Label propagation dictionary learning based process monitoring method for industrial process with between-mode similarity.
Sci. China Inf. Sci., 2022
Moving time domain blending operational strategy for alumina production by mixed integer optimization.
Comput. Chem. Eng., 2022
Time series clustering method with cluster validation to identify unknown local cell conditions in the aluminum reduction cell.
Comput. Ind. Eng., 2022
Cooperative control for multiple train systems: Self-adjusting zones, collision avoidance and constraints.
Autom., 2022
A novel learning-based asynchronous sliding mode control for discrete-time semi-Markov jump systems.
Autom., 2022
Dynamic multi-objective optimization and fuzzy AHP for copper removal process of zinc hydrometallurgy.
Appl. Soft Comput., 2022
Appl. Soft Comput., 2022
Dynamic historical information incorporated attention deep learning model for industrial soft sensor modeling.
Adv. Eng. Informatics, 2022
Compact and Efficient Feature Representation for Defect in hot rolled strip steel: A postion paper.
Proceedings of the 13th Asian Control Conference, 2022
2021
Design and Implementation of Observer-Based Sliding Mode for Underactuated Rendezvous System.
IEEE Trans. Syst. Man Cybern. Syst., 2021
False Data Injection Attacks Detection in Smart Grid: A Structural Sparse Matrix Separation Method.
IEEE Trans. Netw. Sci. Eng., 2021
A Layer-Wise Data Augmentation Strategy for Deep Learning Networks and Its Soft Sensor Application in an Industrial Hydrocracking Process.
IEEE Trans. Neural Networks Learn. Syst., 2021
A New Model Transfer Strategy Among Spectrometers Based on SVR Parameter Calibrating.
IEEE Trans. Instrum. Meas., 2021
An Industrial Multilevel Knowledge Graph-Based Local-Global Monitoring for Plant-Wide Processes.
IEEE Trans. Instrum. Meas., 2021
Waterdrop Removal From Hot-Rolled Steel Strip Surfaces Based on Progressive Recurrent Generative Adversarial Networks.
IEEE Trans. Instrum. Meas., 2021
Deep Nonlinear Dynamic Feature Extraction for Quality Prediction Based on Spatiotemporal Neighborhood Preserving SAE.
IEEE Trans. Instrum. Meas., 2021
A Hybrid First Principles and Data-Driven Process Monitoring Method for Zinc Smelting Roasting Process.
IEEE Trans. Instrum. Meas., 2021
Multimode Process Monitoring and Mode Identification Based on Multiple Dictionary Learning.
IEEE Trans. Instrum. Meas., 2021
Hybrid Intelligence Assisted Sample Average Approximation Method for Chance Constrained Dynamic Optimization.
IEEE Trans. Ind. Informatics, 2021
A Projective and Discriminative Dictionary Learning for High-Dimensional Process Monitoring With Industrial Applications.
IEEE Trans. Ind. Informatics, 2021
Optimal Control of Chilled Water System With Ensemble Learning and Cloud Edge Terminal Implementation.
IEEE Trans. Ind. Informatics, 2021
Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development.
IEEE Trans. Ind. Electron., 2021
A Just-In-Time-Learning-Aided Canonical Correlation Analysis Method for Multimode Process Monitoring and Fault Detection.
IEEE Trans. Ind. Electron., 2021
Stackelberg-Nash Game Approach for Constrained Robust Optimization With Fuzzy Variables.
IEEE Trans. Fuzzy Syst., 2021
IEEE Trans. Emerg. Top. Comput. Intell., 2021
IEEE Trans. Autom. Control., 2021
Global Reconstruction of Complex Network Topology via Structured Compressive Sensing.
IEEE Syst. J., 2021
Sensors, 2021
A classification-driven neuron-grouped SAE for feature representation and its application to fault classification in chemical processes.
Knowl. Based Syst., 2021
J. Frankl. Inst., 2021
Inf. Sci., 2021
Common and specific deep feature representation for multimode process monitoring using a novel variable-wise weighted parallel network.
Eng. Appl. Artif. Intell., 2021
Multi-objective optimization for autonomous driving strategy based on Deep Q Network.
Discov. Artif. Intell., 2021
A novel adaptive generic model control strategy for internal thermally coupled air separation columns with multivariable recursive estimation.
Comput. Chem. Eng., 2021
Functional deep echo state network improved by a bi-level optimization approach for multivariate time series classification.
Appl. Soft Comput., 2021
Appl. Intell., 2021
GCN-CAM: A new graph convolutional network-based fault diagnosis method with its interpretability analysis.
Proceedings of the CAA Symposium on Fault Detection, 2021
2020
Optimal Setting and Control for Iron Removal Process Based on Adaptive Neural Network Soft-Sensor.
IEEE Trans. Syst. Man Cybern. Syst., 2020
A Deep Supervised Learning Framework for Data-Driven Soft Sensor Modeling of Industrial Processes.
IEEE Trans. Neural Networks Learn. Syst., 2020
Headspace Oxygen Concentration Measurement for Pharmaceutical Glass Bottles in Open-Path Optical Environment Using TDLAS/WMS.
IEEE Trans. Instrum. Meas., 2020
IEEE Trans. Instrum. Meas., 2020
IEEE Trans. Instrum. Meas., 2020
Harmonic Amplitude Dispersion: When Production Intrinsic Prior Meets Oxygen Concentration Detection of Pharmaceutical Glass Vials.
IEEE Trans. Instrum. Meas., 2020
Transfer Dictionary Learning Method for Cross-Domain Multimode Process Monitoring and Fault Isolation.
IEEE Trans. Instrum. Meas., 2020
Noise-Robust Self-Adaptive Support Vector Machine for Residual Oxygen Concentration Measurement.
IEEE Trans. Instrum. Meas., 2020
Multivariate Regression Model for Industrial Process Measurement Based on Double Locally Weighted Partial Least Squares.
IEEE Trans. Instrum. Meas., 2020
Dynamic Optimization for Copper Removal Process With Continuous Production Constraints.
IEEE Trans. Ind. Informatics, 2020
Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy.
IEEE Trans. Ind. Informatics, 2020
A Distributed Dynamic Event-Triggered Control Approach to Consensus of Linear Multiagent Systems With Directed Networks.
IEEE Trans. Cybern., 2020
Self-Learning Hot Data Prediction: Where Echo State Network Meets NAND Flash Memories.
IEEE Trans. Circuits Syst. I Regul. Pap., 2020
Structure Dictionary Learning-Based Multimode Process Monitoring and its Application to Aluminum Electrolysis Process.
IEEE Trans Autom. Sci. Eng., 2020
Asynchronous Filtering for Delayed Markovian Jump Systems via Homogeneous Polynomial Approach.
IEEE Trans. Autom. Control., 2020
An Improved Homogeneous Polynomial Approach for Adaptive Sliding-Mode Control of Markov Jump Systems With Actuator Faults.
IEEE Trans. Autom. Control., 2020
Kernel intuitionistic fuzzy c-means and state transition algorithm for clustering problem.
Soft Comput., 2020
Reweighted Compressed Sensing-Based Smart Grids Topology Reconstruction With Application to Identification of Power Line Outage.
IEEE Syst. J., 2020
Simultaneous Determination of Metal Ions in Zinc Sulfate Solution Using UV-Vis Spectrometry and SPSE-XGBoost Method.
Sensors, 2020
Adaptive over-sampling method for classification with application to imbalanced datasets in aluminum electrolysis.
Neural Comput. Appl., 2020
Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network.
Knowl. Based Syst., 2020
Stacked isomorphic autoencoder based soft analyzer and its application to sulfur recovery unit.
Inf. Sci., 2020
Using hybrid normalization technique and state transition algorithm to VIKOR method for influence maximization problem.
Neurocomputing, 2020
Deep quality-related feature extraction for soft sensing modeling: A deep learning approach with hybrid VW-SAE.
Neurocomputing, 2020
Optimizing zinc electrowinning processes with current switching via Deep Deterministic Policy Gradient learning.
Neurocomputing, 2020
Neurocomputing, 2020
Multi-scale local LSSVM based spatiotemporal modeling and optimal control for the goethite process.
Neurocomputing, 2020
Energy Consumption Forecasting for the Nonferrous Metallurgy Industry Using Hybrid Support Vector Regression with an Adaptive State Transition Algorithm.
Cogn. Comput., 2020
Proceedings of the 29th IEEE International Symposium on Industrial Electronics, 2020
Time-varying formation control of singular multi-agent systems with multiple leaders.
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020
2019
A Novel Asynchronous Control for Artificial Delayed Markovian Jump Systems via Output Feedback Sliding Mode Approach.
IEEE Trans. Syst. Man Cybern. Syst., 2019
A Hybrid Feature Selection Method Based on Binary State Transition Algorithm and ReliefF.
IEEE J. Biomed. Health Informatics, 2019
Temperature Measurement and Compensation Method of Blast Furnace Molten Iron Based on Infrared Computer Vision.
IEEE Trans. Instrum. Meas., 2019
A Distributed Canonical Correlation Analysis-Based Fault Detection Method for Plant-Wide Process Monitoring.
IEEE Trans. Ind. Informatics, 2019
Distributed Containment Control of Continuous-Time Multiagent Systems With Nonconvex Control Input Constraints.
IEEE Trans. Ind. Electron., 2019
Generalized Predictive Control for Industrial Processes Based on Neuron Adaptive Splitting and Merging RBF Neural Network.
IEEE Trans. Ind. Electron., 2019
A Cumulative Canonical Correlation Analysis-Based Sensor Precision Degradation Detection Method.
IEEE Trans. Ind. Electron., 2019
A Statistical Study on Parameter Selection of Operators in Continuous State Transition Algorithm.
IEEE Trans. Cybern., 2019
Containment Control for Discrete-Time Multiagent Systems With Communication Delays and Switching Topologies.
IEEE Trans. Cybern., 2019
A Uniform Modeling Method Based on Open-Circuit Faults Analysis for NPC-Three-Level Converter.
IEEE Trans. Circuits Syst. II Express Briefs, 2019
Distributed Continuous-Time and Discrete-Time Optimization With Nonuniform Unbounded Convex Constraint Sets and Nonuniform Stepsizes.
IEEE Trans. Autom. Control., 2019
Distributed Optimization With Nonconvex Velocity Constraints, Nonuniform Position Constraints, and Nonuniform Stepsizes.
IEEE Trans. Autom. Control., 2019
IEEE Trans. Autom. Control., 2019
Neural Comput. Appl., 2019
The Bang-Bang Property of Time-Varying Optimal Time Control for Null Controllable Heat Equation.
J. Optim. Theory Appl., 2019
Asynchronous output feedback control for fuzzy Markovian jump systems via sliding mode.
J. Frankl. Inst., 2019
Energy-aware scheduling for information fusion in wireless sensor network surveillance.
Inf. Fusion, 2019
A novel modularity-based discrete state transition algorithm for community detection in networks.
Neurocomputing, 2019
Multimode process monitoring based on robust dictionary learning with application to aluminium electrolysis process.
Neurocomputing, 2019
Cost-sensitive large margin distribution machine for fault detection of wind turbines.
Clust. Comput., 2019
Autom., 2019
Dynamic Analysis and Finite-Time Synchronization of a New Hyperchaotic System With Coexisting Attractors.
IEEE Access, 2019
Optimal Setting and Control Strategy for Industrial Process Based on Discrete-Time Fractional-Order PI $^{\lambda}$ D $^{\mu}$.
IEEE Access, 2019
IEEE Access, 2019
Estimate Information Fusion Weight of WSNs Nodes Based on Truth Discovery Optimization Method Among Conflicting Sources of Data.
IEEE Access, 2019
Surface Defect Classification for Hot-Rolled Steel Strips by Selectively Dominant Local Binary Patterns.
IEEE Access, 2019
Containment Control for High-Order Multi-Agent Systems With Nonuniform Communication Delays and Switching Topologies.
IEEE Access, 2019
IEEE Access, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
A Voltage-Based Open-Circuit Fault Diagnosis Approach for Single Phase Two-Level Converters.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019
Proceedings of the CAA Symposium on Fault Detection, 2019
Proceedings of the CAA Symposium on Fault Detection, 2019
A comparison of OCMPM and OCSVM in motor and sensor fault detection for traction control system.
Proceedings of the CAA Symposium on Fault Detection, 2019
Fuzzy C-means Cluster Based on Local Weighted Principal Component Regression for Soft Sensor of an Industrial Hydrocracking process.
Proceedings of the 12th Asian Control Conference, 2019
2018
Exponential Stability Analysis for Delayed Semi-Markovian Recurrent Neural Networks: A Homogeneous Polynomial Approach.
IEEE Trans. Neural Networks Learn. Syst., 2018
Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE.
IEEE Trans. Ind. Informatics, 2018
A Hybrid Control Strategy for Real-Time Control of the Iron Removal Process of the Zinc Hydrometallurgy Plants.
IEEE Trans. Ind. Informatics, 2018
Weighted Linear Dynamic System for Feature Representation and Soft Sensor Application in Nonlinear Dynamic Industrial Processes.
IEEE Trans. Ind. Electron., 2018
Exploiting Correlation for Confident Sensing in Fusion-Based Wireless Sensor Networks.
IEEE Trans. Ind. Electron., 2018
Fault Detection for Non-Gaussian Processes Using Generalized Canonical Correlation Analysis and Randomized Algorithms.
IEEE Trans. Ind. Electron., 2018
IEEE Trans. Fuzzy Syst., 2018
Coordinated Optimization for the Descent Gradient of Technical Index in the Iron Removal Process.
IEEE Trans. Cybern., 2018
Passivity-Based Asynchronous Sliding Mode Control for Delayed Singular Markovian Jump Systems.
IEEE Trans. Autom. Control., 2018
Distributed Consensus of Second-Order Multiagent Systems With Nonconvex Velocity and Control Input Constraints.
IEEE Trans. Autom. Control., 2018
Temperature Measurement Method for Blast Furnace Molten Iron Based on Infrared Thermography and Temperature Reduction Model.
Sensors, 2018
Neural Comput. Appl., 2018
A dynamic state transition algorithm with application to sensor network localization.
Neurocomputing, 2018
Finite-time stabilization of the double integrator subject to input saturation and input delay.
IEEE CAA J. Autom. Sinica, 2018
Modeling, optimization, and control of solution purification process in zinc hydrometallurgy.
IEEE CAA J. Autom. Sinica, 2018
A Novel Cognitively Inspired State Transition Algorithm for Solving the Linear Bi-Level Programming Problem.
Cogn. Comput., 2018
Redefined observability matrix for Boolean networks and distinguishable partitions of state space.
Autom., 2018
Appl. Math. Comput., 2018
Appl. Math. Comput., 2018
Set-Point Tracking and Multi-Objective Optimization-Based PID Control for the Goethite Process.
IEEE Access, 2018
A Data-Driven Fault Diagnosis Method for Static Processes with Periodic Disturbances.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Proceedings of the 27th IEEE International Symposium on Industrial Electronics, 2018
Nonlinear VW-SAE Based Deep Learning for Quality-Related Feature Learning and Soft Sensor Modeling.
Proceedings of the IECON 2018, 2018
Proceedings of the IECON 2018, 2018
2017
Soft Sensor Modeling of Nonlinear Industrial Processes Based on Weighted Probabilistic Projection Regression.
IEEE Trans. Instrum. Meas., 2017
IEEE Trans. Ind. Electron., 2017
Reagent Addition Control for Stibium Rougher Flotation Based on Sensitive Froth Image Features.
IEEE Trans. Ind. Electron., 2017
Neurocomputing, 2017
Neurocomputing, 2017
Int. J. Autom. Comput., 2017
Optimal control of an SIVRS epidemic spreading model with virus variation based on complex networks.
Commun. Nonlinear Sci. Numer. Simul., 2017
IEEE Access, 2017
Guaranteed Cost Control for Descriptor Type-2 Fuzzy Systems With Stochastic Delay Distribution.
IEEE Access, 2017
Semantic Network Based on Intuitionistic Fuzzy Directed Hyper-Graphs and Application to Aluminum Electrolysis Cell Condition Identification.
IEEE Access, 2017
2016
Temperature Uniformity Control of Large-Scale Vertical Quench Furnaces for Aluminum Alloy Thermal Treatment.
IEEE Trans. Control. Syst. Technol., 2016
Optim. Lett., 2016
Neurocomputing, 2016
2015
J. Frankl. Inst., 2015
Set stability and set stabilization of Boolean control networks based on invariant subsets.
Autom., 2015
2014
Appl. Math. Comput., 2014
Canonical primal-dual algorithm for solving fourth-order polynomial minimization problems.
Appl. Math. Comput., 2014
2013
A Hybrid Multiobjective Differential Evolution Algorithm and Its Application to the Optimization of Grinding and Classification.
J. Appl. Math., 2013
CoRR, 2013
Appl. Math. Comput., 2013
A Comparative Study of State Transition Algorithm with Harmony Search and Artificial Bee Colony.
Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications, 2013
2012
Optimal control problems arising in the zinc sulphate electrolyte purification process.
J. Glob. Optim., 2012
Decentralized stabilization of large-scale feedforward systems using saturated delayed controls.
Autom., 2012
Stability analysis and design of reset control systems with discrete-time triggering conditions.
Autom., 2012
2011
Sci. China Inf. Sci., 2011
Proceedings of the Second International Conference on Digital Manufacturing and Automation, 2011
2009
Application of highlight removal and multivariate image analysis to color measurement of flotation bubble images.
Int. J. Imaging Syst. Technol., 2009
A two-stage intelligent optimization system for the raw slurry preparing process of alumina sintering production.
Eng. Appl. Artif. Intell., 2009
Modeling and optimal-setting control of blending process in a metallurgical industry.
Comput. Chem. Eng., 2009
Nonparametric density estimation of bubble size distribution for monitoring mineral flotation process.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
Proceedings of the Fifth International Conference on Information Assurance and Security, 2009
2008
Int. J. Syst. Sci., 2008
Proceedings of The International Symposium on Electronic Commerce and Security, 2008
Proceedings of the 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2008), 2008
2007
Int. J. Autom. Comput., 2007
Decentralized robust H∞ output feedback control for value bounded uncertain large-scale interconnected systems.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
2006
Proceedings of the First International Conference on Innovative Computing, Information and Control (ICICIC 2006), 30 August, 2006
2004
J. Comput. Sci. Technol., 2004
2003
An optimal power-dispatching control system for the electrochemical process of zinc based on backpropagation and Hopfield neural networks.
IEEE Trans. Ind. Electron., 2003
2002
An optimal power-dispatching system using neural networks for the electrochemical process of zinc depending on varying prices of electricity.
IEEE Trans. Neural Networks, 2002
A Fault-Tolerant Reservation-Based Strategy for Scheduling Aperiodic Tasks in Multiprocessor Systems.
Proceedings of the 10th Euromicro Workshop on Parallel, 2002