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An Approximate Neuro-Optimal Solution of Discounted Guaranteed Cost Control Design 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 1, 页码: 77-86
作者:  Wang, Ding;  Qiao, Junfei;  Cheng, Long
收藏  |  浏览/下载:241/0  |  提交时间:2022/03/17
Control design  Cost function  Optimal control  Nonlinear systems  Adaptive systems  Switches  Adaptive learning system  discount factor  guaranteed cost function  neuro-optimal control  uncertainty  
Self-Learning Robust Control Synthesis and Trajectory Tracking of Uncertain Dynamics 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 1, 页码: 278-286
作者:  Wang, Ding;  Cheng, Long;  Yan, Jun
收藏  |  浏览/下载:223/0  |  提交时间:2022/03/17
Robust control  Optimal control  Cost function  Trajectory tracking  Nonlinear systems  Feedback control  Dynamical systems  Adaptive critic learning  control synthesis  neural networks  optimization  robust stabilization  tracking design  
Composite Learning Enhanced Robot Impedance Control 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 3, 页码: 1052-1059
作者:  Sun, Tairen;  Peng, Liang;  Cheng, Long;  Hou, Zeng-Guang;  Pan, Yongping
收藏  |  浏览/下载:245/0  |  提交时间:2020/06/02
Impedance  Convergence  Robots  Stability criteria  Uncertainty  Parameter estimation  Adaptive control  composite adaptation  impedance control  learning control  parameter convergence  robot  
Learning and Guaranteed Cost Control With Event-Based Adaptive Critic Implementation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 12, 页码: 6004-6014
作者:  Wang, Ding;  Liu, Derong
收藏  |  浏览/下载:258/0  |  提交时间:2019/07/12
Adaptive dynamic programming  event-based design  guaranteed cost control  optimal control  self-learning technique  
Adaptive-Critic-Based Robust Trajectory Tracking of Uncertain Dynamics and Its Application to a Spring-Mass-Damper System 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2018, 卷号: 65, 期号: 1, 页码: 654-663
作者:  Wang, Ding;  Mu, Chaoxu
收藏  |  浏览/下载:157/0  |  提交时间:2019/12/16
Adaptive critic design  neural networks  optimal control  robust trajectory tracking  self-learning control  system uncertainty