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Policy Gradient Adaptive Dynamic Programming for Data-Based Optimal Control 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 10, 页码: 3341-3354
作者:  Luo, Biao;  Liu, Derong;  Wu, Huai-Ning;  Wang, Ding;  Lewis, Frank L.
浏览  |  Adobe PDF(3217Kb)  |  收藏  |  浏览/下载：562/204  |  提交时间：2016/11/09
Adaptive Control  Adaptive Dynamic Programming (Adp)  Data-based  Off-policy Learning  Optimal Control  Policy Gradient  
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
浏览  |  Adobe PDF(1068Kb)  |  收藏  |  浏览/下载：405/109  |  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  
Online identifier-actor-critic algorithm for optimal control of nonlinear systems 期刊论文
OPTIMAL CONTROL APPLICATIONS & METHODS, 2017, 卷号: 38, 期号: 3, 页码: 317-335
作者:  Lin, Hanquan;  Wei, Qinglai;  Liu, Derong
浏览  |  Adobe PDF(2888Kb)  |  收藏  |  浏览/下载：262/71  |  提交时间：2017/07/18
Adaptive Dynamic Programming  Optimal Control  Discrete-time  Nonlinear System  Neural Network  Online Learning  Lyapunov Method  
Adaptive near-optimal controllers for non-linear decentralised feedback stabilisation problems 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2017, 卷号: 11, 期号: 6, 页码: 799-806
作者:  Wang, Ding;  He, Haibo;  Zhao, Bo;  Liu, Derong
Adobe PDF(3178Kb)  |  收藏  |  浏览/下载：317/92  |  提交时间：2017/07/18
Adaptive Control  Optimal Control  Continuous Time Systems  Nonlinear Control Systems  Decentralised Control  Feedback  Stability  Control System Synthesis  Adaptive-critic-based Near-optimal Controller  Continuous-time Nonlinear Decentralised Feedback Stabilisation Problem  Decentralised Feedback Control Problem  Updating Rule  Approximation Property  Learning Mechanism  
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：341/135  |  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  
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：360/119  |  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 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：212/0  |  提交时间：2016/12/26
Adaptive Dynamic Programming  Input Constraint  Neural Networks  Optimal Control  Reinforcement Learning  Robust Control  
Online approximate solution of HJI equation for unknown constrained-input nonlinear continuous-time systems 期刊论文
INFORMATION SCIENCES, 2016, 卷号: 328, 页码: 435-454
作者:  Yang, Xiong;  Liu, Derong;  Ma, Hongwen;  Xu, Yancai
浏览  |  Adobe PDF(833Kb)  |  收藏  |  浏览/下载：387/111  |  提交时间：2016/01/18
Adaptive Dynamic Programming  Hamilton-jacobi-isaacs Equation  Input Constraint  Neural Network  Optimal Control  Reinforcement Learning  
Generalized Policy Iteration Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2015, 卷号: 45, 期号: 12, 页码: 1577-1591
作者:  Liu, Derong;  Wei, Qinglai;  Yan, Pengfei
浏览  |  Adobe PDF(1540Kb)  |  收藏  |  浏览/下载：216/66  |  提交时间：2016/03/19
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Generalized Policy Iteration  Neural Networks  Neuro-dynamic Programming  Nonlinear Systems  Optimal Control  Reinforcement Learning