Guoxing Wen

Vaughn College of Aeronautics and Technology — United States

Engineering · Physical Sciences

30h-index5.8kcitations82works4.42yr avg
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Research Topics

Adaptive Control of Nonlinear Systems(53), Adaptive Dynamic Programming Control(51), Distributed Control Multi-Agent Systems(37), Reinforcement Learning in Robotics(25), Neural Networks Stability and Synchronization(20)

Publications82 total

Zero-sum game control of unmanned aerial vehicle confrontation via reinforcement learning
Science China Information Sciences·2025· 1 cited
Reinforcement Learning-Based Optimized Tracking Control for Stochastic Nonlinear Strict-Feedback Systems With Wiener and Poisson Noises
IEEE Transactions on Industrial Informatics·2025
Optimised backstepping fault-tolerant control based on reinforcement learning for a class of nonlinear strict feedback systems with actuator and sensor failures
International Journal of Systems Science·2025
Neural network-based simplified optimised backstepping control for attitude tracking of a 2-DOF helicopter system
International Journal of Control·2025
Optimized Leader‐Follower Formation Fault‐Tolerant Control Using Reinforcement Learning for a Class of Nonlinear Multi‐Agent Systems Having Actuator Failure
International Journal of Adaptive Control and Signal Processing·2025
Reinforcement learning-based optimized backstepping fuzzy tracking control for flexible-joint robot systems
Scientia Sinica Informationis·2025· 2 citedOpen Access
Optimized consensus control of multi-manipulator system having actuator fault using reinforcement learning approximation strategy
Information Sciences·2025· 2 cited
Optimized inverse dead-zone formation control using reinforcement learning for the nonlinear single-integrator dynamic multi-agent system
Neurocomputing·2025· 3 cited
Optimized Leader-Follower Consensus Control of Multi-QUAV Attitude System Using Reinforcement Learning and Backstepping
IEEE Transactions on Emerging Topics in Computational Intelligence·2025· 11 cited
Intermittent Output Based Fuzzy Adaptive Control of Uncertain Nonlinear Multi-Agent Systems With Its Application to Robotic Systems
IEEE Internet of Things Journal·2025
Optimized dead-zone control based on a sliding-mode mechanism for a class of unknown nonlinear dynamic systems
Transactions of the Institute of Measurement and Control·2024· 1 cited
Optimized dead-zone inverse control using reinforcement learning and sliding-mode mechanism for a class of high-order nonlinear systems
European Journal of Control·2024· 1 cited
Optimized distributed formation control using identifier–critic–actor reinforcement learning for a class of stochastic nonlinear multi-agent systems
ISA Transactions·2024· 4 cited
Adaptive switching control of full state constrained nonlinear systems with unknown control directions
International Journal of Robust and Nonlinear Control·2024· 1 cited
Optimized Inverse Dead‐Zone Control Using Reinforcement Learning for a Class of Nonlinear Systems
International Journal of Adaptive Control and Signal Processing·2024
Optimised backstepping control for the nonlinear strict-feedback system having unknown control dead-zone
International Journal of Control·2024· 1 cited
Optimized Fuzzy Attitude Control of Quadrotor Unmanned Aerial Vehicle Using Adaptive Reinforcement Learning Strategy
IEEE Transactions on Aerospace and Electronic Systems·2024· 21 cited
Optimized Backstepping Combined With Dynamic Surface Technique for Single-Input–Single-Output Nonlinear Strict-Feedback System
IEEE Transactions on Systems Man and Cybernetics Systems·2024· 26 cited
Optimized leader–follower consensus control for high-order nonlinear multi-agent system modeled in canonical dynamic form
Journal of the Franklin Institute·2024· 2 cited
Optimized backstepping consensus control using adaptive observer-critic–actor reinforcement learning for strict-feedback multi-agent systems
Journal of the Franklin Institute·2024· 6 cited
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Frequent Co-authors

C. L. Philip Chen(17), Bin Li(12), Yan‐Jun Liu(10), Shuzhi Sam Ge(5), Shaocheng Tong(4), Yongchao Liu(4), Ranran Zhou(4), Zhi Liu(3), Fangwen Tu(3), Dengxiu Yu(3), Ben Niu(3), Yanfen Song(3), Z.G. Li(3), Jiahao Zhu(3), Yan‐Jun Liu(2), Hongli Yang(2), Ning Zhou(2), Hui Dou(2), Qidan Zhu(2), Yang Cui(2)