Guoxing Wen
Orcid: 0000-0002-6392-5989Affiliations:
- Binzhou University, Department of Mathematics, Binzhou, China
- University of Macau, Department of Computer and Information Science, Macau (PhD 2014)
- Liaoning University of Technology, College of Science, Jinzhou, China
According to our database1,
Guoxing Wen
authored at least 47 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on linkedin.com
-
on orcid.org
On csauthors.net:
Bibliography
2024
Optimized Fuzzy Attitude Control of Quadrotor Unmanned Aerial Vehicle Using Adaptive Reinforcement Learning Strategy.
IEEE Trans. Aerosp. Electron. Syst., October, 2024
Optimized Backstepping Combined With Dynamic Surface Technique for Single-Input-Single-Output Nonlinear Strict-Feedback System.
IEEE Trans. Syst. Man Cybern. Syst., July, 2024
Time-Varying Optimal Formation Control for Second-Order Multiagent Systems Based on Neural Network Observer and Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Adaptive Control of Constrained Nonlinear CPSs Under Deception Attacks Through Sensor and Actuator Networks.
IEEE Trans. Circuits Syst. II Express Briefs, March, 2024
Adaptive neural network observer control for a class of nonlinear strict-feedback systems with unmeasurable states.
Int. J. Control, February, 2024
Game-Based Backstepping Design for Strict-Feedback Nonlinear Multi-Agent Systems Based on Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
Optimized backstepping consensus control using adaptive observer-critic-actor reinforcement learning for strict-feedback multi-agent systems.
J. Frankl. Inst., 2024
Optimized leader-follower consensus control for high-order nonlinear multi-agent system modeled in canonical dynamic form.
J. Frankl. Inst., 2024
Optimized dead-zone inverse control using reinforcement learning and sliding-mode mechanism for a class of high-order nonlinear systems.
Eur. J. Control, 2024
2023
Reinforcement Learning Based Optimized Sliding-Mode Consensus Control of High-Order Nonlinear Canonical Dynamic Multiagent System.
IEEE Syst. J., December, 2023
Optimized Backstepping Tracking Control Using Reinforcement Learning for a Class of Stochastic Nonlinear Strict-Feedback Systems.
IEEE Trans. Neural Networks Learn. Syst., March, 2023
Optimized Backstepping Consensus Control Using Reinforcement Learning for a Class of Nonlinear Strict-Feedback-Dynamic Multi-Agent Systems.
IEEE Trans. Neural Networks Learn. Syst., March, 2023
Tracking control based on adaptive Bernstein polynomial approximation for a class of unknown nonlinear dynamic systems.
J. Frankl. Inst., 2023
2022
Optimized Leader-Follower Consensus Control Using Reinforcement Learning for a Class of Second-Order Nonlinear Multiagent Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Optimized Backstepping Tracking Control Using Reinforcement Learning for Quadrotor Unmanned Aerial Vehicle System.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Adaptive Tracking Control for Perturbed Strict-Feedback Nonlinear Systems Based on Optimized Backstepping Technique.
IEEE Trans. Neural Networks Learn. Syst., 2022
Optimized Backstepping Control Using Reinforcement Learning of Observer-Critic-Actor Architecture Based on Fuzzy System for a Class of Nonlinear Strict-Feedback Systems.
IEEE Trans. Fuzzy Syst., 2022
Optimized tracking control based on reinforcement learning for a class of high-order unknown nonlinear dynamic systems.
Inf. Sci., 2022
Reinforcement learning-based optimised control for a class of second-order nonlinear dynamic systems.
Int. J. Syst. Sci., 2022
2021
Simplified Optimized Backstepping Control for a Class of Nonlinear Strict-Feedback Systems With Unknown Dynamic Functions.
IEEE Trans. Cybern., 2021
Command-filter-based adaptive finite-time consensus control for nonlinear strict-feedback multi-agent systems with dynamic leader.
Inf. Sci., 2021
Adaptive Neural Network Optimized Control Using Reinforcement Learning of Critic-Actor Architecture for a Class of Non-Affine Nonlinear Systems.
IEEE Access, 2021
2020
Optimized Formation Control Using Simplified Reinforcement Learning for a Class of Multiagent Systems With Unknown Dynamics.
IEEE Trans. Ind. Electron., 2020
Adaptive neural network control for time-varying state constrained nonlinear stochastic systems with input saturation.
Inf. Sci., 2020
Simplified optimized control using reinforcement learning algorithm for a class of stochastic nonlinear systems.
Inf. Sci., 2020
Adaptive Neural Network Leader-Follower Formation Control for a Class of Second-Order Nonlinear Multi-Agent Systems With Unknown Dynamics.
IEEE Access, 2020
2019
Optimized Adaptive Nonlinear Tracking Control Using Actor-Critic Reinforcement Learning Strategy.
IEEE Trans. Ind. Informatics, 2019
IEEE Trans. Cybern., 2019
Formation control with obstacle avoidance of second-order multi-agent systems under directed communication topology.
Sci. China Inf. Sci., 2019
Design of Variable-Gain First Order Sliding Mode and its Application to Spacecraft Attitude Synchronization.
IEEE Access, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Formation Control With Obstacle Avoidance for a Class of Stochastic Multiagent Systems.
IEEE Trans. Ind. Electron., 2018
Optimized Multi-Agent Formation Control Based on an Identifier-Actor-Critic Reinforcement Learning Algorithm.
IEEE Trans. Fuzzy Syst., 2018
Simulation and Comparison of Different Types of First-order Decentralized Sliding Mode Estimators.
Proceedings of the 15th International Conference on Control, 2018
2017
Artificial Potential-Based Adaptive H<sub>∞</sub> Synchronized Tracking Control for Accommodation Vessel.
IEEE Trans. Ind. Electron., 2017
Neural Network-Based Adaptive Leader-Following Consensus Control for a Class of Nonlinear Multiagent State-Delay Systems.
IEEE Trans. Cybern., 2017
Approximation-Based Adaptive Neural Tracking Control of an Uncertain Robot with Output Constraint and Unknown Time-Varying Delays.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
2016
Observer-Based Adaptive Backstepping Consensus Tracking Control for High-Order Nonlinear Semi-Strict-Feedback Multiagent Systems.
IEEE Trans. Cybern., 2016
2015
Neurocomputing, 2015
2014
Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2014
Fuzzy Neural Network-Based Adaptive Control for a Class of Uncertain Nonlinear Stochastic Systems.
IEEE Trans. Cybern., 2014
2013
Adaptive NN Consensus Control for a Class of Nonlinear Multi-agent Time-Delay Systems.
Proceedings of the IEEE International Conference on Systems, 2013
2012
Direct adaptive robust NN control for a class of discrete-time nonlinear strict-feedback SISO systems.
Neural Comput. Appl., 2012
Distributed consensus control using neural network for a class of nonlinear multi-agent systems.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012
2011
Adaptive Neural Output Feedback Tracking Control for a Class of Uncertain Discrete-Time Nonlinear Systems.
IEEE Trans. Neural Networks, 2011
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011
2010
Direct adaptive NN control for a class of discrete-time nonlinear strict-feedback systems.
Neurocomputing, 2010