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Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 18-36
作者:  Ding Wang;  Ning Gao;  Derong Liu;  Jinna Li;  Frank L. Lewis
Adobe PDF(1945Kb)  |  收藏  |  浏览/下载：237/179  |  提交时间：2024/01/02
Adaptive dynamic programming (ADP)  advanced control  complex environment  data-driven control  event-triggered design  intelligent control  neural networks  nonlinear systems  optimal control  reinforcement learning (RL)  
Adaptive Multi-Step Evaluation Design With Stability Guarantee for Discrete-Time Optimal Learning Control 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1797-1809
作者:  Ding Wang;  Jiangyu Wang;  Mingming Zhao;  Peng Xin;  Junfei Qiao
Adobe PDF(5140Kb)  |  收藏  |  浏览/下载：118/50  |  提交时间：2023/08/10
Adaptive critic  artificial neural networks  Hamilton-Jacobi-Bellman (HJB) equation  multi-step heuristic dynamic programming  multi-step reinforcement learning  optimal control  
Event-Based Robust Control for Uncertain Nonlinear Systems Using Adaptive Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 1, 页码: 37-50
作者:  Zhang, Qichao;  Zhao, Dongbin;  Wang, Ding
浏览  |  Adobe PDF(2233Kb)  |  收藏  |  浏览/下载：523/239  |  提交时间：2017/05/04
Adaptive Dynamic Programming (Adp)  Event-based Control  Neural Network (Nn)  Robust Control  Unmatched Uncertainties  
Neural-network-based adaptive guaranteed cost control of nonlinear dynamical systems with matched uncertainties 期刊论文
NEUROCOMPUTING, 2017, 卷号: 245, 页码: 46-54
作者:  Mu, Chaoxu;  Wang, Ding
Adobe PDF(1843Kb)  |  收藏  |  浏览/下载：358/120  |  提交时间：2017/09/12
Adaptive Dynamic Programming (Adp)  Guaranteed Cost Control  Neural Networks  Uncertain Dynamics  Stability  
Event-Triggered Adaptive Dynamic Programming for Uncertain Nonlinear Systems 会议论文
, Beijing, China, November 19–23
作者:  Zhang,Qichao;  Zhao,Dongbin;  Wang,Ding
浏览  |  Adobe PDF(153Kb)  |  收藏  |  浏览/下载：186/75  |  提交时间：2017/12/28
Event-triggered adaptive dynamic programming for uncertain nonlinear systems 会议论文
, Beijing, China, 2016-12
作者:  Zhang, Qichao;  Zhao, Dongbin;  Wang, Ding
浏览  |  Adobe PDF(153Kb)  |  收藏  |  浏览/下载：194/108  |  提交时间：2017/05/04
Event-based input-constrained nonlinear H infinity state feedback with adaptive critic and neural implementation 期刊论文
NEUROCOMPUTING, 2016, 卷号: 214, 期号: *, 页码: 848-856
作者:  Wang, Ding;  Mu, Chaoxu;  Zhang, Qichao;  Liu, Derong
浏览  |  Adobe PDF(1090Kb)  |  收藏  |  浏览/下载：346/135  |  提交时间：2017/02/14
Adaptive Critic Learning (Acl)  Adaptive Dynamic Programming (Adp)  Event-based Control  Hamilton-jacobi-isaacs (Hji) Equation  Input Constraints  Neural Networks  Nonlinear H-infinity Control  State Feedback  
Experience Replay for Optimal Control of Nonzero-Sum Game Systems With Unknown Dynamics 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: 3, 页码: 854-865
作者:  Zhao, Dongbin;  Zhang, Qichao;  Wang, Ding;  Zhu, Yuanheng
浏览  |  Adobe PDF(1769Kb)  |  收藏  |  浏览/下载：492/191  |  提交时间：2016/06/14
Adaptive Dynamic Programming (Adp)  Experience Replay  Nonzero-sum (Nzs) Games  Optimal Control  Unknown Dynamics  
Model-Free Optimal Control for Affine Nonlinear Systems With Convergence Analysis 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2015, 卷号: 12, 期号: 4, 页码: 1461-1468
作者:  Zhao, Dongbin;  Xia, Zhongpu;  Wang, Ding
浏览  |  Adobe PDF(1985Kb)  |  收藏  |  浏览/下载：329/86  |  提交时间：2015/11/12
Action Dependent Heuristic Dynamic Programming  Adaptive Dynamic Programming  Model-free Optimal Control  Neural Networks  Policy Iteration  
Reinforcement-Learning-Based Robust Controller Design for Continuous-Time Uncertain Nonlinear Systems Subject to Input Constraints 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2015, 卷号: 45, 期号: 7, 页码: 1372-1385
作者:  Liu, Derong;  Yang, Xiong;  Wang, Ding;  Wei, Qinglai
浏览  |  Adobe PDF(1179Kb)  |  收藏  |  浏览/下载：465/242  |  提交时间：2015/09/17
Approximate Dynamic Programming (Adp)  Neural Networks (Nns)  Neuro-dynamic Programming  Nonlinear Systems  Optimal Control  Reinforcement Learning (Rl)  Robust Control