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Optimal control for discrete-time systems with actuator saturation 期刊论文
OPTIMAL CONTROL APPLICATIONS & METHODS, 2017, 卷号: 38, 期号: 6, 页码: 1071-1080
作者:  Lin, Qiao;  Wei, Qinglai;  Zhao, Bo
Adobe PDF(348Kb)  |  收藏  |  浏览/下载：519/254  |  提交时间：2017/05/04
Approximate Dynamic Programming  Discrete Time  Generalized Policy Iteration  Optimal Control  Saturating Actuators  
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：414/109  |  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  
Adaptive Dynamic Programming-Based Optimal Control Scheme for Energy Storage Systems With Solar Renewable Energy 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 7, 页码: 5468-5478
作者:  Wei, Qinglai;  Shi, Guang;  Song, Ruizhuo;  Liu, Yu
Adobe PDF(3085Kb)  |  收藏  |  浏览/下载：418/149  |  提交时间：2017/02/23
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Energy Storage  Energy Storage System  Optimal Control  Solar Renewable Energy  
Developing nonlinear adaptive optimal regulators through an improved neural learning mechanism 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2017, 卷号: 60, 期号: 5
作者:  Wang, Ding;  Mu, Chaoxu
Adobe PDF(244Kb)  |  收藏  |  浏览/下载：153/67  |  提交时间：2017/09/12
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
Adobe PDF(2888Kb)  |  收藏  |  浏览/下载：269/72  |  提交时间：2017/07/18
Adaptive Dynamic Programming  Optimal Control  Discrete-time  Nonlinear System  Neural Network  Online Learning  Lyapunov Method  
Mixed Iterative Adaptive Dynamic Programming for Optimal Battery Energy Control in Smart Residential Microgrids 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 5, 页码: 4110-4120
作者:  Wei, Qinglai;  Liu, Derong;  Lewis, Frank L.;  Liu, Yu;  Zhang, Jie
Adobe PDF(4866Kb)  |  收藏  |  浏览/下载：547/243  |  提交时间：2017/02/23
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Mixed Iteration  Optimal Control  Policy Iteration  Smart Grid  Value Iteration  
Observer based adaptive dynamic programming for fault tolerant control of a class of nonlinear systems 期刊论文
INFORMATION SCIENCES, 2017, 期号: 384, 页码: 21-33
作者:  Zhao, Bo;  Liu, Derong;  Li, Yuanchun
浏览  |  Adobe PDF(1581Kb)  |  收藏  |  浏览/下载：360/131  |  提交时间：2017/05/05
Adaptive Dynamic Programming  Fault Tolerant Control  Policy Iteration  Nonlinear Systems  Fault Observer  Neural Network  
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：346/135  |  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  
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：569/283  |  提交时间：2016/10/24
Critic-only Q-learning (Coql)  Model-free  Nonaffine Nonlinear Systems  Optimal Tracking Control  
Data-Driven Zero-Sum Neuro-Optimal Control for a Class of Continuous-Time Unknown Nonlinear Systems With Disturbance Using ADP 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 卷号: 27, 期号: 2, 页码: 444-458
作者:  Wei, Qinglai;  Song, Ruizhuo;  Yan, Pengfei
浏览  |  Adobe PDF(2204Kb)  |  收藏  |  浏览/下载：399/137  |  提交时间：2016/06/14
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Neurodynamic Programming  Nonlinear Systems  Optimal Control  Recurrent Neural Network (Rnn)  Reinforcement Learning