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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：239/179  |  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)  
Decentralized control for large-scale nonlinear systems with unknown mismatched interconnections via policy iteration 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018, 卷号: 48, 期号: 10, 页码: 1725-1735
作者:  Zhao B(赵博);  Ding Wang
浏览  |  Adobe PDF(768Kb)  |  收藏  |  浏览/下载：346/94  |  提交时间：2018/10/14
Adaptive Dynamic Programming  Decentralized Control  Large-scale Systems  Neural Networks  
Error Bound Analysis of Q-Function for Discounted Optimal Control Problems With Policy Iteration 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2017, 卷号: 47, 期号: 7, 页码: 1207-1216
作者:  Yan, Pengfei;  Wang, Ding;  Li, Hongliang;  Liu, Derong
Adobe PDF(625Kb)  |  收藏  |  浏览/下载：320/76  |  提交时间：2017/09/12
Adaptive Dynamic Programming (Adp)  Error Analysis  Nonlinear Systems  Policy Iteration  Q-function  
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：333/86  |  提交时间：2015/11/12
Action Dependent Heuristic Dynamic Programming  Adaptive Dynamic Programming  Model-free Optimal Control  Neural Networks  Policy Iteration  
Discrete-time online learning control for a class of unknown nonaffine nonlinear systems using reinforcement learning 期刊论文
NEURAL NETWORKS, 2014, 卷号: 55, 页码: 30-41
作者:  Yang, Xiong;  Liu, Derong;  Wang, Ding;  Wei, Qinglai
浏览  |  Adobe PDF(684Kb)  |  收藏  |  浏览/下载：356/130  |  提交时间：2015/08/12
Adaptive Critic Design  Neural Network  Nonaffine Nonlinear System  Online Learning  Reinforcement Learning  
Full-range adaptive cruise control based on supervised adaptive dynamic programming 期刊论文
NEUROCOMPUTING, 2014, 卷号: 125, 页码: 57-67
作者:  Zhao, Dongbin;  Hu, Zhaohui;  Xia, Zhongpu;  Alippi, Cesare;  Zhu, Yuanheng;  Wang, Ding
浏览  |  Adobe PDF(2228Kb)  |  收藏  |  浏览/下载：389/113  |  提交时间：2015/08/12
Adaptive Dynamic Programming  Supervised Reinforcement Learning  Neural Networks  Adaptive Cruise Control  Stop And Go  
Approximate optimal solution of the DTHJB equation for a class of nonlinear affine systems with unknown dead-zone constraints 期刊论文
SOFT COMPUTING, 2014, 卷号: 18, 期号: 2, 页码: 349-357
作者:  Zhang, Dehua;  Liu, Derong;  Wang, Ding
Adobe PDF(621Kb)  |  收藏  |  浏览/下载：189/66  |  提交时间：2015/08/12
Nonlinear Affine System  Dead-zone  Dthjb  Neural Networks  Riemann Integral  
Data-driven iterative adaptive dynamic programming algorithm for approximate optimal control of unknown nonlinear systems 会议论文
International Joint Conference on Neural Networks (IJCNN), Beijing, 2014
作者:  Hongliang Li;  Derong Liu;  Ding Wang;  Chao Li
Adobe PDF(689Kb)  |  收藏  |  浏览/下载：221/65  |  提交时间：2015/08/19
Neuro-optimal control for a class of unknown nonlinear dynamic systems using SN-DHP technique 期刊论文
NEUROCOMPUTING, 2013, 卷号: 121, 页码: 218-225
作者:  Wang, Ding;  Liu, Derong
Adobe PDF(634Kb)  |  收藏  |  浏览/下载：276/63  |  提交时间：2015/08/12
Adaptive Critic Designs  Adaptive Dynamic Programming  Approximate Dynamic Programming  Neural Networks  Optimal Control  Reinforcement Learning  
Dual iterative adaptive dynamic programming for a class of discrete-time nonlinear systems with time-delays 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2013, 卷号: 23, 期号: 7-8, 页码: 1851-1863
作者:  Wei, Qinglai;  Wang, Ding;  Zhang, Dehua;  Derong Liu
浏览  |  Adobe PDF(751Kb)  |  收藏  |  浏览/下载：255/79  |  提交时间：2015/08/12
Adaptive Dynamic Programming  Approximate Dynamic Programming  Adaptive Critic Designs  Optimal Control  Time-delay  Nonlinear Systems