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Constrained-cost adaptive dynamic programming for optimal control of discrete-time nonlinear systems 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 卷号: 35, 期号: 3, 页码: 3251 - 3264
作者:  Wei, Qinglai;  Li, Tao
Adobe PDF(8471Kb)  |  收藏  |  浏览/下载：59/22  |  提交时间：2024/05/28
Adaptive dynamic programming  approximate dynamic programming  constrained cost  optimal control  reinforcement learning  
Decentralized Event-Driven Constrained Control Using Adaptive Critic Designs 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Yang, Xiong;  Zhu, Yuanheng;  Dong, Na;  Wei, Qinglai
Adobe PDF(1578Kb)  |  收藏  |  浏览/下载：239/15  |  提交时间：2022/01/27
Adaptive critic designs (ACDs)  adaptive dynamic programming (ADP)  decentralized event-driven control  input constraint  reinforcement learning (RL)  
Generalized Actor-Critic Learning Optimal Control in Smart Home Energy Management 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 卷号: 17, 期号: 10, 页码: 6614-6623
作者:  Wei, Qinglai;  Liao, Zehua;  Shi, Guang
Adobe PDF(1229Kb)  |  收藏  |  浏览/下载：291/38  |  提交时间：2021/11/02
Optimal control  Process control  Smart homes  Dynamic programming  Numerical models  Iterative methods  Informatics  Actor-critic learning  adaptive critic designs  adaptive dynamic programming (ADP)  approximate dynamic programming  energy management  optimal control  smart grid  
Parallel Control for Optimal Tracking via Adaptive Dynamic Programming 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 6, 页码: 1662-1674
作者:  Lu, Jingwei;  Wei, Qinglai;  Wang, Fei-Yue
浏览  |  Adobe PDF(7214Kb)  |  收藏  |  浏览/下载：364/66  |  提交时间：2021/01/06
Adaptive dynamic programming (ADP)  nonlinear optimal control  parallel controller  parallel control theory  parallel system  tracking control  neural network (NN)  
Robust adaptive critic control design with network-based event-triggered formulation 期刊论文
NONLINEAR DYNAMICS, 2017, 卷号: 90, 期号: 3, 页码: 2023-2035
作者:  Mu, Chaoxu;  Wang, Ding;  Sun, Changyin;  Zong, Qun
浏览  |  Adobe PDF(1014Kb)  |  收藏  |  浏览/下载：417/138  |  提交时间：2018/03/03
Adaptive Critic Control  Disturbance Rejection  Event-triggered Mechanism  Network-based Systems  Robust H-infinity Control  
Adaptive Critic Nonlinear Robust Control: A Survey 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 10, 页码: 3429-3451
作者:  Wang, Ding;  He, Haibo;  Liu, Derong
浏览  |  Adobe PDF(1954Kb)  |  收藏  |  浏览/下载：450/151  |  提交时间：2018/03/03
Adaptive Critic Designs  Adaptive/approximate Dynamic Programming (Adp)  Boundedness  Convergence  Neural Networks  Optimal Control  Reinforcement Learning  Robust Control  Stability  
Event-Driven Nonlinear Discounted Optimal Regulation Involving a Power System Application 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 10, 页码: 8177-8186
作者:  Wang, Ding;  He, Haibo;  Zhong, Xiangnan;  Liu, Derong
浏览  |  Adobe PDF(1126Kb)  |  收藏  |  浏览/下载：387/127  |  提交时间：2018/03/03
Adaptive/approximate Dynamic Programming  Approximation  Discount Factor  Event-driven Control  Neural Networks  Optimal Regulation  Power System  
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：468/127  |  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 reinforcement learning for continuous-state systems 专著章节/文集论文
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作者:  Yuanheng Zhu;  Zhao DB(赵冬斌)
Adobe PDF(24150Kb)  |  收藏  |  浏览/下载：277/35  |  提交时间：2017/09/13
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：348/111  |  提交时间：2017/09/12
Adaptive Critic Mechanism (Acm)  Event-based Control  Input Constraints  Nonlinear Systems  Robust Control