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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：255/0  |  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  
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：270/0  |  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  
Neuro-optimal control for discrete stochastic processes via a novel policy iteration algorithm 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, 卷号: 50, 期号: 11, 页码: 3972-3985
作者:  Liang, Mingming;  Wang, Ding;  Liu, Derong
浏览  |  Adobe PDF(1604Kb)  |  收藏  |  浏览/下载：220/73  |  提交时间：2020/10/23
Adaptive critic designs  adaptive dynamic programming (ADP)  local policy iteration  neuro-dynamic programming  optimal control  stochastic processes  
Asymptotically stable critic designs for approximate optimal stabilization of nonlinear systems subject to mismatched external disturbances 期刊论文
NEUROCOMPUTING, 2020, 卷号: 396, 页码: 201-208
作者:  Zhao, Bo;  Shi, Guang;  Wang, Ding
收藏  |  浏览/下载：265/0  |  提交时间：2020/07/06
Adaptive dynamic programming  Adaptive critic designs  Mismatched external disturbances  Disturbance observer  Optimal control  Neural networks  Nested tuning law  
Improved value iteration for neural-network-based stochastic optimal control design 期刊论文
NEURAL NETWORKS, 2020, 卷号: 124, 页码: 280-295
作者:  Liang, Mingming;  Wang, Ding;  Liu, Derong
Adobe PDF(5875Kb)  |  收藏  |  浏览/下载：271/59  |  提交时间：2020/06/02
Adaptive critic designs  Adaptive dynamic programming  Neural networks  Optimal control  Stochastic processes  Value iteration  
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：180/0  |  提交时间：2019/12/16
Adaptive critic design  neural networks  optimal control  robust trajectory tracking  self-learning control  system uncertainty  
Neural robust stabilization via event-triggering mechanism and adaptive learning technique 期刊论文
NEURAL NETWORKS, 2018, 卷号: 102, 页码: 27-35
作者:  Wang, Ding;  Liu, Derong
收藏  |  浏览/下载：192/0  |  提交时间：2018/10/10
Adaptive Critic Designs  Adaptive Dynamic Programming  Event-triggered Control  Neural Networks  Robust Stabilization  Uncertainties  
Neural Network Learning and Robust Stabilization of Nonlinear Systems With Dynamic Uncertainties 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 1342-1351
作者:  Wang, Ding;  Liu, Derong;  Mu, Chaoxu;  Zhang, Yun
收藏  |  浏览/下载：156/0  |  提交时间：2018/10/10
Adaptive Critic  Dynamical Uncertainty  Learning Systems  Neural Networks  Optimal Control  Robust Stabilization  
Neural network robust tracking control with adaptive critic framework for uncertain nonlinear systems 期刊论文
NEURAL NETWORKS, 2018, 卷号: 97, 页码: 11-18
作者:  Wang, Ding;  Liu, Derong;  Zhang, Yun;  Li, Hongyi
收藏  |  浏览/下载：231/0  |  提交时间：2018/10/10
Adaptive Critic Designs  Dynamical Uncertainty  Learning Systems  Neural Networks  Optimal Control  Robust Tracking Control  
Robust adaptive critic control design with network-based event-triggered formulation 期刊论文
NONLINEAR DYNAMICS, 2017, 卷号: 90, 期号: 3, 页码: 2023-2035
作者:  Mu, Chaoxu;  Wang, Ding;  Sun, Changyin;  Zong, Qun
浏览  |  Adobe PDF(1014Kb)  |  收藏  |  浏览/下载：411/136  |  提交时间：2018/03/03
Adaptive Critic Control  Disturbance Rejection  Event-triggered Mechanism  Network-based Systems  Robust H-infinity Control