Yong Xu
Orcid: 0000-0003-2219-7732Affiliations:
- Guangdong University of Technology, School of Automation, Guangzhou, China
- Guangdong Key Laboratory of IoT Information Technology, Guangzhou, China
- Zhejiang University, Hangzhou, China (2014)
- Hangzhou Dianzi University, Institute of Information and Control, China (former)
According to our database1,
Yong Xu
authored at least 92 papers
between 2009 and 2024.
Collaborative distances:
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Bibliography
2024
Dynamic Event-Triggered Synchronization of Markov Jump Neural Networks via Sliding Mode Control.
IEEE Trans. Cybern., April, 2024
IEEE Trans. Ind. Informatics, March, 2024
Optimal Transmission Scheduling Over Multihop Networks: Structural Results and Reinforcement Learning.
IEEE Trans. Autom. Control., March, 2024
IEEE Robotics Autom. Lett., February, 2024
Event-triggered impulsive quasi-synchronization for BAM neural networks with reliable redundant channel.
Neural Networks, January, 2024
Puffin Platform: A Morphable Unmanned Aerial/Underwater Vehicle With Eight Propellers.
IEEE Trans. Ind. Electron., 2024
2023
Event-Triggered Resilient Filtering With the Interval Type Uncertainty for Markov Jump Systems.
IEEE Trans. Cybern., December, 2023
Optimal transmission strategy for multiple Markovian fading channels: Existence, structure, and approximation.
Autom., December, 2023
IEEE Trans. Syst. Man Cybern. Syst., October, 2023
Distributed Extended State Estimation for Complex Networks With Nonlinear Uncertainty.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Finite-time cluster synchronization for complex dynamical networks under FDI attack: A periodic control approach.
Neural Networks, August, 2023
Inf. Sci., August, 2023
Distributed Estimation and Smoothing for Linear Dynamic Systems Over Sensor Networks.
IEEE Trans. Circuits Syst. I Regul. Pap., July, 2023
Reinforcement learning-based unknown reference tracking control of HMASs with nonidentical communication delays.
Sci. China Inf. Sci., July, 2023
Autom., 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
Bounded synchronization for uncertain master-slave neural networks: An adaptive impulsive control approach.
Neural Networks, May, 2023
Distributed Moving Horizon Estimation Over Wireless Sensor Networks: A Matrix-Weighted Consensus Approach.
IEEE Trans. Circuits Syst. II Express Briefs, April, 2023
Energy scheduling for DoS attack over multi-hop networks: Deep reinforcement learning approach.
Neural Networks, April, 2023
Learning Optimal Stochastic Sensor Scheduling for Remote Estimation With Channel Capacity Constraint.
IEEE Trans. Ind. Informatics, March, 2023
IEEE Trans. Autom. Control., March, 2023
Distributed Filtering Under Constrained Bit Rate Over Wireless Sensor Networks: Dealing With Bit Rate Allocation Protocol.
IEEE Trans. Autom. Control., March, 2023
Distributed State Estimation Over Sensor Networks With Substate Decomposition Approach.
IEEE Trans. Netw. Sci. Eng., 2023
Finite-Time Estimation for Markovian BAM Neural Networks With Asymmetrical Mode-Dependent Delays and Inconstant Measurements.
IEEE Trans. Neural Networks Learn. Syst., 2023
Watermarking-Based Protection Strategy Against Stealthy Integrity Attack on Distributed State Estimation.
IEEE Trans. Autom. Control., 2023
Pinning synchronization for markovian jump neural networks with uncertain impulsive effects.
Neurocomputing, 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
2022
IEEE Trans. Instrum. Meas., 2022
Quasisynchronization for Neural Networks With Partial Constrained State Information via Intermittent Control Approach.
IEEE Trans. Cybern., 2022
IEEE Trans. Cybern., 2022
A Novel Fixed-Time Protocol for First-Order Consensus Tracking With Disturbance Rejection.
IEEE Trans. Autom. Control., 2022
IEEE Trans. Autom. Control., 2022
Delay Robustness of PID Control of Second-Order Systems: Pseudoconcavity, Exact Delay Margin, and Performance Tradeoff.
IEEE Trans. Autom. Control., 2022
Set-membership filtering for complex networks with constraint communication channels.
Neural Networks, 2022
Optimal sensor scheduling for remote state estimation with limited bandwidth: a deep reinforcement learning approach.
Inf. Sci., 2022
On extended state estimation for nonlinear uncertain systems with round-robin protocol.
Autom., 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Sequential Covariance Intersection Based on the Upper Bound of Correlation Coefficient.
Proceedings of the 13th Asian Control Conference, 2022
2021
State Estimation for Networked Systems With Markov Driven Transmission and Buffer Constraint.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Quasi-Synchronization for Periodic Neural Networks With Asynchronous Target and Constrained Information.
IEEE Trans. Syst. Man Cybern. Syst., 2021
IEEE Trans. Netw. Sci. Eng., 2021
Distributed H<sub>∞</sub> State Estimator Design for Time-Delay Periodic Systems Over Scheduling Sensor Networks.
IEEE Trans. Cybern., 2021
IEEE Trans. Autom. Control., 2021
Neural Networks, 2021
Finite-time synchronization for periodic T-S fuzzy master-slave neural networks with distributed delays.
J. Frankl. Inst., 2021
Adaptive consensus tracking of multi-robotic systems via using integral sliding mode control.
Neurocomputing, 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
Finite-Horizon H<sub>∞</sub> State Estimation for Time-Varying Neural Networks with Periodic Inner Coupling and Measurements Scheduling.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Optimal Estimation for Discrete-Time Linear System with Communication Constraints and Measurement Quantization.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Robust Distributed H<sub>∞</sub> State Estimation for Stochastic Periodic Systems Over Constraint Sensor Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Observer-Based Impulsive Synchronization for Neural Networks With Uncertain Exchanging Information.
IEEE Trans. Neural Networks Learn. Syst., 2020
Nonfragile Finite-Time Synchronization for Coupled Neural Networks With Impulsive Approach.
IEEE Trans. Neural Networks Learn. Syst., 2020
Quasi-Synchronization of Time Delay Markovian Jump Neural Networks With Impulsive-Driven Transmission and Fading Channels.
IEEE Trans. Cybern., 2020
Synchronization for Markovian coupled neural networks with partial mode observation: The finite-time case.
J. Frankl. Inst., 2020
Tradeoff between Delay Robustness and Tracking Performance by PID Control: Second-Order Unstable Systems.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2019
Finite-Horizon $l_2-l_\infty$ Synchronization for Time-Varying Markovian Jump Neural Networks Under Mixed-Type Attacks: Observer-Based Case.
IEEE Trans. Neural Networks Learn. Syst., 2019
Reduced-order filtering for networks with Markovian jumping parameters and missing measurements.
Int. J. Control, 2019
IEEE Access, 2019
2018
State Estimation for Periodic Neural Networks With Uncertain Weight Matrices and Markovian Jump Channel States.
IEEE Trans. Syst. Man Cybern. Syst., 2018
Robust Estimation for Neural Networks With Randomly Occurring Distributed Delays and Markovian Jump Coupling.
IEEE Trans. Neural Networks Learn. Syst., 2018
Remote Estimator Design for Time-Delay Neural Networks Using Communication State Information.
IEEE Trans. Neural Networks Learn. Syst., 2018
Dissipativity-Based Resilient Filtering of Periodic Markovian Jump Neural Networks With Quantized Measurements.
IEEE Trans. Neural Networks Learn. Syst., 2018
Filtering for Fuzzy Systems With Multiplicative Sensor Noises and Multidensity Quantizer.
IEEE Trans. Fuzzy Syst., 2018
Finite-Time Distributed State Estimation Over Sensor Networks With Round-Robin Protocol and Fading Channels.
IEEE Trans. Cybern., 2018
Robust state estimation for discrete time systems with colored noises and communication constraints.
J. Frankl. Inst., 2018
Finite-time control for periodic systems with Markov jump sensor nonlinearities and random input gains.
J. Frankl. Inst., 2018
State estimation for neural networks with jumping interval weight matrices and transmission delays.
Neurocomputing, 2018
Passive state estimator design for Markovian complex networks with polytopic sensor failures.
Neurocomputing, 2018
Dissipative non-fragile state estimation for Markovian complex networks with coupling transmission delays.
Neurocomputing, 2018
Stability of continuous-time positive switched linear systems: A weak common copositive Lyapunov functions approach.
Autom., 2018
A distributed Kalman filtering algorithm with fast finite-time convergence for sensor networks.
Autom., 2018
2017
Asynchronous Dissipative State Estimation for Stochastic Complex Networks With Quantized Jumping Coupling and Uncertain Measurements.
IEEE Trans. Neural Networks Learn. Syst., 2017
Finite-Time State Estimation for Coupled Markovian Neural Networks With Sensor Nonlinearities.
IEEE Trans. Neural Networks Learn. Syst., 2017
Robust H<sub>∞</sub> filtering for Markov jump systems with mode-dependent quantized output and partly unknown transition probabilities.
Signal Process., 2017
Quantized fuzzy passification for nonlinear systems with Markov-based transmission delays.
J. Frankl. Inst., 2017
Observer-based sliding mode control of Markov jump systems with random sensor delays and partly unknown transition rates.
Int. J. Syst. Sci., 2017
Dissipativity-based asynchronous state estimation for Markov jump neural networks with jumping fading channels.
Neurocomputing, 2017
Distributed state estimation for periodic systems with sensor nonlinearities and successive packet dropouts.
Neurocomputing, 2017
Circuits Syst. Signal Process., 2017
2016
Trajectory-Tracking Control of Mobile Robot Systems Incorporating Neural-Dynamic Optimized Model Predictive Approach.
IEEE Trans. Syst. Man Cybern. Syst., 2016
A New Design of Model Predictive Tracking Control for Networked Control System Under Random Packet Loss and Uncertainties.
IEEE Trans. Ind. Electron., 2016
Optimal Estimation in UDP-Like Networked Control Systems With Intermittent Inputs: Stability Analysis and Suboptimal Filter Design.
IEEE Trans. Autom. Control., 2016
Finite-time bounded control for a class of stochastic nonlinear systems with randomly quantized measurements.
J. Frankl. Inst., 2016
Passive filter design for periodic stochastic systems with quantized measurements and randomly occurring nonlinearities.
J. Frankl. Inst., 2016
Neurocomputing, 2016
Nonfragile l<sub>2</sub>-l<sub>∞</sub> state estimation for discrete-time neural networks with jumping saturations.
Neurocomputing, 2016
Neurocomputing, 2016
State estimation for complex networks with randomly varying nonlinearities and sensor failures.
Complex., 2016
2013
IEEE Trans. Ind. Electron., 2013
2010
Signal Process., 2010
2009
Proceedings of the 48th IEEE Conference on Decision and Control, 2009