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Distributed algorithm for dissensus of a class of networked multiagent systems using output information 期刊论文
SOFT COMPUTING, 2018, 卷号: 22, 期号: 1, 页码: 273-282
作者:  Ma, Hongwen;  Liu, Derong;  Wang, Ding;  Yang, Xiong;  Li, Hongliang;  Derong Liu
浏览  |  Adobe PDF(925Kb)  |  收藏  |  浏览/下载：403/145  |  提交时间：2017/05/03
Distributed Control  Dissensus  Multiagent Systems  Output Feedback  
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：480/246  |  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  
An iterative adaptive dynamic programming algorithm for optimal control of unknown discrete-time nonlinear systems with constrained inputs 期刊论文
INFORMATION SCIENCES, 2013, 卷号: 220, 页码: 331-342
作者:  Liu, Derong;  Wang, Ding;  Yang, Xiong
浏览  |  Adobe PDF(474Kb)  |  收藏  |  浏览/下载：243/90  |  提交时间：2015/08/12
Adaptive Dynamic Programming  Approximate Dynamic Programming  Control Constraints  Globalized Dual Heuristic Programming  Neural Networks  Optimal Control  
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：365/132  |  提交时间：2015/08/12
Adaptive Critic Design  Neural Network  Nonaffine Nonlinear System  Online Learning  Reinforcement Learning  
Reinforcement learning for adaptive optimal control of unknown continuous-time nonlinear systems with input constraints 期刊论文
INTERNATIONAL JOURNAL OF CONTROL, 2014, 卷号: 87, 期号: 3, 页码: 553-566
作者:  Yang, Xiong;  Liu, Derong;  Wang, Ding
Adobe PDF(721Kb)  |  收藏  |  浏览/下载：633/261  |  提交时间：2015/08/12
Adaptive Control  Input Constraints  Neural Networks  Optimal Control  Reinforcement Learning