Chaoxu Mu

Orcid: 0000-0003-1055-9513

According to our database1, Chaoxu Mu authored at least 115 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Intermittent Feedback Optimal Control of Saturated-Input Nonlinear Systems via Adaptive Dynamic Programming.
IEEE Trans. Syst. Man Cybern. Syst., November, 2024

Bounded and Saturation Control-Based Fixed-Time Synchronization of Discontinuous Fuzzy Competitive Networks With State-Dependent Switching.
IEEE Trans. Fuzzy Syst., October, 2024

Aperiodically Intermittent Event-Based Fixed-Time Consensus Tracking and Its Applications.
IEEE Trans Autom. Sci. Eng., October, 2024

Reachable Set Estimation for Delayed Memristive Neural Networks With Bounded Disturbances.
IEEE Trans. Syst. Man Cybern. Syst., September, 2024

Specified-Time Distributed Control for Multiagent Systems Over Undirected and Directed Graphs: A Linear Operator Theoretic Framework.
IEEE Trans. Syst. Man Cybern. Syst., September, 2024

Cooperative Control for Air-Ground Systems via Bidirectional Signal Connection in Complex Environment.
IEEE Trans. Syst. Man Cybern. Syst., September, 2024

Fuzzy-Based Optimal Control for Stochastic Nonlinear Systems With Constrained Inputs via Dynamic Event-Triggering.
IEEE Trans. Fuzzy Syst., August, 2024

Generalized-Type Multistability of Almost Periodic Solutions for Memristive Cohen-Grossberg Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Safe Reinforcement Learning and Adaptive Optimal Control With Applications to Obstacle Avoidance Problem.
IEEE Trans Autom. Sci. Eng., July, 2024

Multistability of Complex-Valued NNs With General Periodic-Type Activation Functions and Its Application to Associative Memories.
IEEE Trans. Syst. Man Cybern. Syst., June, 2024

Multi-Objective Interval Optimization Dispatch of Microgrid via Deep Reinforcement Learning.
IEEE Trans. Smart Grid, May, 2024

Safe Adaptive Dynamic Programming for Multiplayer Systems With Static and Moving No-Entry Regions.
IEEE Trans. Artif. Intell., May, 2024

Generalized Halanay-Type Inequalities for Finite-Time Stabilization of Delayed Systems.
IEEE Trans. Circuits Syst. II Express Briefs, April, 2024

Adaptive Control of Constrained Nonlinear CPSs Under Deception Attacks Through Sensor and Actuator Networks.
IEEE Trans. Circuits Syst. II Express Briefs, March, 2024

Nonsmooth Distributed Resource Allocation Over Second-Order Nonlinear Multiagent Systems.
IEEE Syst. J., March, 2024

Data Generation Feedback Relearning Control for Unmodeled Nonlinear Systems.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Specified-Time Practical Consensus for General Linear Multi-Agent Systems With Switching Mechanism.
IEEE Trans. Circuits Syst. II Express Briefs, February, 2024

Reinforcement Learning Control for a 2-DOF Helicopter With State Constraints: Theory and Experiments.
IEEE Trans Autom. Sci. Eng., January, 2024

A Safe Virtual Machine Scheduling Strategy for Energy Conservation and Privacy Protection of Server Clusters in Cloud Data Centers.
IEEE Trans. Sustain. Comput., 2024

Graph Multi-Agent Reinforcement Learning for Inverter-Based Active Voltage Control.
IEEE Trans. Smart Grid, 2024

Unified analysis on multistablity of fraction-order multidimensional-valued memristive neural networks.
Neural Networks, 2024

Input-to-state stability of delayed memristor-based inertial neural networks via non-reduced order method.
Neural Networks, 2024

Multistability of recurrent neural networks with general periodic activation functions and unbounded time-varying delays.
J. Frankl. Inst., 2024

Distributed optimal coordination algorithm for nonlinear second-order multi-agent systems and its application to vehicle platoon.
J. Frankl. Inst., 2024

Q-learning based tracking control with novel finite-horizon performance index.
Inf. Sci., 2024

2023
Adaptive Neural Network Control of an Uncertain 2-DOF Helicopter With Unknown Backlash-Like Hysteresis and Output Constraints.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Improved Criteria for Stability of a Class of Recurrent Neural Networks With Generalized Piecewise Constant Argument.
IEEE Trans. Syst. Man Cybern. Syst., November, 2023

Hierarchical Multiagent Formation Control Scheme via Actor-Critic Learning.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

A Data-Based Feedback Relearning Algorithm for Uncertain Nonlinear Systems.
IEEE CAA J. Autom. Sinica, May, 2023

Extended Kalman Filter Based Resilient Formation Tracking Control of Multiple Unmanned Vehicles via Game-Theoretical Reinforcement Learning.
IEEE Trans. Intell. Veh., March, 2023

Learning-Based Control With Decentralized Dynamic Event-Triggering for Vehicle Systems.
IEEE Trans. Ind. Informatics, March, 2023

Graph Convolution Neural Network Based End-to-End Channel Selection and Classification for Motor Imagery Brain-Computer Interfaces.
IEEE Trans. Ind. Informatics, 2023

Data-Based Feedback Relearning Control for Uncertain Nonlinear Systems With Actuator Faults.
IEEE Trans. Cybern., 2023

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library.
CoRR, 2023

Initialization-Free Distributed Constrained Optimization Algorithms with a Pre-Specified Time.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Adaptive composite frequency control of power systems using reinforcement learning.
CAAI Trans. Intell. Technol., December, 2022

Learning-Based Cooperative Multiagent Formation Control With Collision Avoidance.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Training-Free Deep Generative Networks for Compressed Sensing of Neural Action Potentials.
IEEE Trans. Neural Networks Learn. Syst., 2022

Adaptive Learning and Sampled-Control for Nonlinear Game Systems Using Dynamic Event-Triggering Strategy.
IEEE Trans. Neural Networks Learn. Syst., 2022

A Novel Complex Network-Based Graph Convolutional Network in Major Depressive Disorder Detection.
IEEE Trans. Instrum. Meas., 2022

A Scalable Two-Layer Blockchain System for Distributed Multicloud Storage in IIoT.
IEEE Trans. Ind. Informatics, 2022

Adaptive Neural-Network-Based Fault-Tolerant Control for a Flexible String With Composite Disturbance Observer and Input Constraints.
IEEE Trans. Cybern., 2022

Dynamic Event-Triggering Neural Learning Control for Partially Unknown Nonlinear Systems.
IEEE Trans. Cybern., 2022

Conditional Disturbance Negation Based Control for an Omnidirectional Mobile Robot: An Energy Perspective.
IEEE Robotics Autom. Lett., 2022

Model-Free Optimal Consensus Control for Multi-agent Systems Based on DHP Algorithm.
Neural Process. Lett., 2022

Data-based decentralized learning scheme for nonlinear systems with mismatched interconnections.
Neurocomputing, 2022

Day-ahead optimal dispatching of hybrid power system based on deep reinforcement learning.
Cogn. Comput. Syst., 2022

2021
Policy-Iteration-Based Learning for Nonlinear Player Game Systems With Constrained Inputs.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Learning Control Supported by Dynamic Event Communication Applying to Industrial Systems.
IEEE Trans. Ind. Informatics, 2021

Learning-based control for discrete-time constrained nonzero-sum games.
CAAI Trans. Intell. Technol., 2021

Cooperative Optimization Strategy for Distributed Energy Resource System using Multi-Agent Reinforcement Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

2020
A Real-Time Collision Prediction Mechanism With Deep Learning for Intelligent Transportation System.
IEEE Trans. Veh. Technol., 2020

ADP-Based Robust Tracking Control for a Class of Nonlinear Systems With Unmatched Uncertainties.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Energy-Storage-Based Intelligent Frequency Control of Microgrid With Stochastic Model Uncertainties.
IEEE Trans. Smart Grid, 2020

A Learning-Based Solution for an Adversarial Repeated Game in Cyber-Physical Power Systems.
IEEE Trans. Neural Networks Learn. Syst., 2020

Learning-Based Robust Tracking Control of Quadrotor With Time-Varying and Coupling Uncertainties.
IEEE Trans. Neural Networks Learn. Syst., 2020

Cooperative Differential Game-Based Optimal Control and Its Application to Power Systems.
IEEE Trans. Ind. Informatics, 2020

Optimal Model-Free Output Synchronization of Heterogeneous Multiagent Systems Under Switching Topologies.
IEEE Trans. Ind. Electron., 2020

Data-Based H<sub>∞</sub> Control for the Constrained-Input Nonlinear Systems and its Applications in Chaotic Circuit Systems.
IEEE Trans. Circuits Syst. I Regul. Pap., 2020

Approximately Optimal Control of Discrete-Time Nonlinear Switched Systems Using Globalized Dual Heuristic Programming.
Neural Process. Lett., 2020

Hierarchical optimal control for input-affine nonlinear systems through the formulation of Stackelberg game.
Inf. Sci., 2020

Deep Actor-Critic Learning-Based Robustness Enhancement of Internet of Things.
IEEE Internet Things J., 2020

Integrated adaptive dynamic programming for data-driven optimal controller design.
Neurocomputing, 2020

Event-Sampled Learning for Unknown Nonlinear Systems Related to Dynamic Triggering Method.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
EEG-Based Spatio-Temporal Convolutional Neural Network for Driver Fatigue Evaluation.
IEEE Trans. Neural Networks Learn. Syst., 2019

Relative Wavelet Entropy Complex Network for Improving EEG-Based Fatigue Driving Classification.
IEEE Trans. Instrum. Meas., 2019

An Improved Third-Order Generalized Integral Flux Observer for Sensorless Drive of PMSMs.
IEEE Trans. Ind. Electron., 2019

Optimal Output Feedback Control of Nonlinear Partially-Unknown Constrained-Input Systems Using Integral Reinforcement Learning.
Neural Process. Lett., 2019

Q-learning solution for optimal consensus control of discrete-time multiagent systems using reinforcement learning.
J. Frankl. Inst., 2019

An ADDHP-based Q-learning algorithm for optimal tracking control of linear discrete-time systems with unknown dynamics.
Appl. Soft Comput., 2019

Nearly Optimal Consensus Control of Discrete Time Multiagent Systems with Time Delays.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018
Improved Deadbeat Predictive Current Control Combined Sliding Mode Strategy for PMSM Drive System.
IEEE Trans. Veh. Technol., 2018

On Mixed Data and Event Driven Design for Adaptive-Critic-Based Nonlinear H<sub>∞</sub> Control.
IEEE Trans. Neural Networks Learn. Syst., 2018

Neural Network Learning and Robust Stabilization of Nonlinear Systems With Dynamic Uncertainties.
IEEE Trans. Neural Networks Learn. Syst., 2018

Hierarchically Adaptive Frequency Control for an EV-Integrated Smart Grid With Renewable Energy.
IEEE Trans. Ind. Informatics, 2018

A Novel Multiplex Network-Based Sensor Information Fusion Model and Its Application to Industrial Multiphase Flow System.
IEEE Trans. Ind. Informatics, 2018

Adaptive-Critic-Based Robust Trajectory Tracking of Uncertain Dynamics and Its Application to a Spring-Mass-Damper System.
IEEE Trans. Ind. Electron., 2018

Dynamic Behavior of Terminal Sliding Mode Control.
IEEE Trans. Ind. Electron., 2018

Data-Driven Finite-Horizon Approximate Optimal Control for Discrete-Time Nonlinear Systems Using Iterative HDP Approach.
IEEE Trans. Cybern., 2018

Decentralized adaptive optimal stabilization of nonlinear systems with matched interconnections.
Soft Comput., 2018

Observer-Based Adaptive Control of Uncertain Nonlinear Systems Via Neural Networks.
IEEE Access, 2018

2017
Event-Based Constrained Robust Control of Affine Systems Incorporating an Adaptive Critic Mechanism.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Event-Driven Adaptive Robust Control of Nonlinear Systems With Uncertainties Through NDP Strategy.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Air-Breathing Hypersonic Vehicle Tracking Control Based on Adaptive Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2017

Intelligent Critic Control With Disturbance Attenuation for Affine Dynamics Including an Application to a Microgrid System.
IEEE Trans. Ind. Electron., 2017

Improved Sliding Mode Design for Load Frequency Control of Power System Integrated an Adaptive Learning Strategy.
IEEE Trans. Ind. Electron., 2017

Data-Driven Tracking Control With Adaptive Dynamic Programming for a Class of Continuous-Time Nonlinear Systems.
IEEE Trans. Cybern., 2017

A novel neural optimal control framework with nonlinear dynamics: Closed-loop stability and simulation verification.
Neurocomputing, 2017

Neural-network-based adaptive guaranteed cost control of nonlinear dynamical systems with matched uncertainties.
Neurocomputing, 2017

Adaptive tracking control for a class of continuous-time uncertain nonlinear systems using the approximate solution of HJB equation.
Neurocomputing, 2017

Developing nonlinear adaptive optimal regulators through an improved neural learning mechanism.
Sci. China Inf. Sci., 2017

Novel iterative neural dynamic programming for data-based approximate optimal control design.
Autom., 2017

Near-space aerospace vehicles attitude control based on adaptive dynamic programming and sliding mode control.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Position/force control of a holonomic-constrained mobile manipulator based on active disturbance rejection control.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Neural adaptive control of microgrid frequency regulation with wind power.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Improved SOIFO-based rotor flux observer for PMSM sensorless control.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Adaptive critic designs for solving event-based H∞ control problems.
Proceedings of the 2017 American Control Conference, 2017

2016
Fast sliding mode control on air-breathing hypersonic vehicles with transient response analysis.
J. Syst. Control. Eng., 2016

On switching manifold design for terminal sliding mode control.
J. Frankl. Inst., 2016

Data-based robust optimal control of continuous-time affine nonlinear systems with matched uncertainties.
Inf. Sci., 2016

Event-based input-constrained nonlinear H∞ state feedback with adaptive critic and neural implementation.
Neurocomputing, 2016

Decentralized guaranteed cost control of interconnected systems with uncertainties: A learning-based optimal control strategy.
Neurocomputing, 2016

Iterative GDHP-based approximate optimal tracking control for a class of discrete-time nonlinear systems.
Neurocomputing, 2016

Adaptive-critic-based event-driven nonlinear robust state feedback.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Support vector machine-based optimized decision threshold adjustment strategy for classifying imbalanced data.
Knowl. Based Syst., 2015

Nonsingular terminal sliding mode control for the speed regulation of permanent magnet synchronous motor with parameter uncertainties.
Proceedings of the IECON 2015, 2015

2014
A continuous sliding mode controller for the PMSM speed regulation based on disturbance observer.
Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014

Cascade dictionary learning for action recognition.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Multimedia, 2014

2013
Design of flight control system for a Hypersonic Gliding Vehicle based on nonlinear disturbance observer.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

Super-twisting sliding mode control based on Lyapunov analysis for the cursing flight of hypersonic vehicles.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

2011
Internal model control based on a novel least square support vector machines for MIMO nonlinear discrete systems.
Neural Comput. Appl., 2011

State Feedback Control Based on Twin Support Vector Regression Compensating for a Class of Nonlinear Systems.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

2009
A weighted LS-SVM approach for the identification of a class of nonlinear inverse systems.
Sci. China Ser. F Inf. Sci., 2009

2008
Inverse System Identification of Nonlinear Systems Using LSSVM Based on Clustering.
Proceedings of the Advances in Neural Networks, 2008

Inverse system identification of nonlinear systems using least square support vector machine based on FCM clustering.
Proceedings of the International Joint Conference on Neural Networks, 2008


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