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Data-based robust adaptive control for a class of unknown nonlinear constrained-input systems via integral reinforcement learning 期刊论文
INFORMATION SCIENCES, 2016, 卷号: 369, 页码: 731-747
作者:  Yang, Xiong;  Liu, Derong;  Luo, Biao;  Li, Chao
收藏  |  浏览/下载：214/0  |  提交时间：2016/12/26
Adaptive Dynamic Programming  Input Constraint  Neural Networks  Optimal Control  Reinforcement Learning  Robust Control  
Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2016, 卷号: 46, 期号: 11, 页码: 1544-1555
作者:  Wang, Ding;  Liu, Derong;  Zhang, Qichao;  Zhao, Dongbin
浏览  |  Adobe PDF(1082Kb)  |  收藏  |  浏览/下载：441/197  |  提交时间：2017/02/14
Adaptive Critic Designs  Adaptive Dynamic Programming  Intelligent Control  Neural Networks  Policy Iteration  Robust Optimal Control  System Identification  Uncertain Nonlinear Systems  
Model-Free Optimal Tracking Control via Critic-Only Q-Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 卷号: 27, 期号: 10, 页码: 2134-2144
作者:  Luo, Biao;  Liu, Derong;  Huang, Tingwen;  Wang, Ding;  Luo,Biao
浏览  |  Adobe PDF(1521Kb)  |  收藏  |  浏览/下载：571/284  |  提交时间：2016/10/24
Critic-only Q-learning (Coql)  Model-free  Nonaffine Nonlinear Systems  Optimal Tracking Control  
Off-Policy Actor-Critic Structure for Optimal Control of Unknown Systems With Disturbances 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: 5, 页码: 1041-1050
作者:  Song, Ruizhuo;  Lewis, Frank L.;  Wei, Qinglai;  Zhang, Huaguang
收藏  |  浏览/下载：207/0  |  提交时间：2016/10/20
Adaptive Critic Designs  Adaptive/approximate Dynamic Programming (Adp)  Dynamic Programming  Off-policy  Optimal Control  Unknown System  
Value Iteration Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: 3, 页码: 840-853
作者:  Wei, Qinglai;  Liu, Derong;  Lin, Hanquan;  Derong Liu
Adobe PDF(2015Kb)  |  收藏  |  浏览/下载：374/162  |  提交时间：2016/06/14
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Neural Networks  Neuro-dynamic Programming  Optimal Control  Reinforcement Learning  Value Iteration