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Improving the Critic Learning for Event-Based Nonlinear H-infinity Control Design 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 10, 页码: 3417-3428
作者:  Wang, Ding;  He, Haibo;  Liu, Derong
Adobe PDF(1068Kb)  |  收藏  |  浏览/下载：418/110  |  提交时间：2018/03/03
H-infinity Control  Adaptive Systems  Adaptive/approximate Dynamic Programming  Critic Network  Event-based Design  Learning Criterion  Neural Control  
Event-Based Constrained Robust Control of Affine Systems Incorporating an AdaptiveCritic Mechanism 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2017, 卷号: 47, 期号: 7, 页码: 1602-1612
作者:  Wang, Ding;  Mu, Chaoxu;  Yang, Xiong;  Liu, Derong
Adobe PDF(1062Kb)  |  收藏  |  浏览/下载：308/96  |  提交时间：2017/09/12
Adaptive Critic Mechanism (Acm)  Event-based Control  Input Constraints  Nonlinear Systems  Robust Control  
Event-Driven Adaptive Robust Control of Nonlinear Systems With Uncertainties Through NDP Strategy 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2017, 卷号: 47, 期号: 7, 页码: 1358-1370
作者:  Wang, Ding;  Mu, Chaoxu;  He, Haibo;  Liu, Derong
Adobe PDF(1425Kb)  |  收藏  |  浏览/下载：370/133  |  提交时间：2017/09/12
Adaptive Dynamic Programming (Adp)  Adaptive Robust Control  Critic Neural Network  Event-driven Control  Neural Dynamic Programming (Ndp)  Uncertain Nonlinear Systems  
Decentralized guaranteed cost control of interconnected systems with uncertainties: A learning-based optimal control strategy 期刊论文
NEUROCOMPUTING, 2016, 卷号: 214, 页码: 297-306
作者:  Wang, Ding;  Liu, Derong;  Mu, Chaoxu;  Ma, Hongwen
Adobe PDF(1113Kb)  |  收藏  |  浏览/下载：382/120  |  提交时间：2017/02/14
Adaptive Dynamic Programming  Decentralized Control  Guaranteed Cost Control  Interconnected Systems  Learning Control  Neural Networks  Optimal Control  Uncertain Plant  
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  
Data-based robust optimal control of continuous-time affine nonlinear systems with matched uncertainties 期刊论文
INFORMATION SCIENCES, 2016, 期号: 366, 页码: 121-133
作者:  Wang, Ding;  Li, Chao;  Liu, Derong;  Mu, Chaoxu
Adobe PDF(782Kb)  |  收藏  |  浏览/下载：475/188  |  提交时间：2016/10/20
Adaptive Dynamic Programming  Data-based Control  Integral Policy Iteration  Matched Uncertainties  Neural Networks  Robust Optimal Control  
An Approximate Optimal Control Approach for Robust Stabilization of a Class of Discrete-Time Nonlinear Systems With Uncertainties 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2016, 卷号: 46, 期号: 5, 页码: 713-717
作者:  Wang, Ding;  Liu, Derong;  Li, Hongliang;  Luo, Biao;  Ma, Hongwen
Adobe PDF(328Kb)  |  收藏  |  浏览/下载：373/111  |  提交时间：2016/04/08
Adaptive Dynamic Programming (Adp)  Generalized Hamilton-jacobi-bellman (Ghjb) Equation  Neural Networks  Optimal Control  Robust Control  Successive Approximation Method  Uncertainties  
A neural-network-based online optimal control approach for nonlinear robust decentralized stabilization 期刊论文
SOFT COMPUTING, 2016, 卷号: 20, 期号: 2, 页码: 707-716
作者:  Wang, Ding;  Liu, Derong;  Li, Hongliang;  Ma, Hongwen;  Li, Chao
Adobe PDF(837Kb)  |  收藏  |  浏览/下载：314/69  |  提交时间：2016/06/14
Adaptive Dynamic Programming  Approximate Dynamic Programming  Neural Networks  Online Optimal Control  Robust Decentralized Stabilization  Uncertain Nonlinear Systems  
Data-driven controller design for general MIMO nonlinear systems via virtual reference feedback tuning and neural networks 期刊论文
NEUROCOMPUTING, 2016, 卷号: 171, 页码: 815-825
作者:  Yan, Pengfei;  Liu, Derong;  Wang, Ding;  Ma, Hongwen
浏览  |  Adobe PDF(603Kb)  |  收藏  |  浏览/下载：522/118  |  提交时间：2016/01/18
Data-driven Control  Mimo Nonlinear Systems  Model Reference Control  Neural Networks  Virtual Reference Feedback Tuning