Discrete-Time Self-Learning Parallel Control

doi:10.1109/TSMC.2020.2995646

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	Discrete-Time Self-Learning Parallel Control
	Wei, Qinglai1,2,3 ; Wang, Lingxiao1,2,3 ; Lu, Jingwei1,2,3 ; Wang, Fei-Yue1,2,3
发表期刊	IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
ISSN	2168-2216
	2022
卷号	52 期号:1 页码:192-204
通讯作者	Wei, Qinglai(qinglai.wei@ia.ac.cn)
摘要	In this article, a new self-learning parallel control method, which is based on adaptive dynamic programming (ADP) technique, is developed for solving the optimal control problem of discrete- time time-varying nonlinear systems. It aims to obtain an approximate optimal control law sequence and simultaneously guarantees the convergence of the value function. Establishing the time-varying artificial system by neural networks in a certain time-horizon, a control-sequence-improvement ADP algorithm is developed to obtain the control law sequence. For the first time, the criteria of the parallel execution are presented, such that the value function is proven to converge to a finite neighborhood of the optimal performance index function. Finally, numerical results and analysis are presented to demonstrate the effectiveness of the parallel control method.
关键词	Optimal control Nonlinear systems Time-varying systems Performance analysis Complex systems Biological neural networks ACP adaptive dynamic programming (ADP) approximate dynamic programming nonlinear systems optimal control parallel control reinforcement learning
DOI	10.1109/TSMC.2020.2995646
关键词[WOS]	TRACKING CONTROL ; SYSTEMS
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61722312] ; National Natural Science Foundation of China[61533017] ; National Key Research and Development Program of China[2018YFB1702300]
项目资助者	National Natural Science Foundation of China ; National Key Research and Development Program of China
WOS研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Cybernetics
WOS记录号	WOS:000731147700025
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
七大方向——子方向分类	平行管理与控制
引用统计	被引频次：45[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/47137
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Wei, Qinglai
作者单位	1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 3.Qingdao Acad Intelligent Ind, Parallel Intelligence Innovat Ctr, Qingdao 266109, Peoples R China
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Wei, Qinglai,Wang, Lingxiao,Lu, Jingwei,et al. Discrete-Time Self-Learning Parallel Control[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2022,52(1):192-204.
APA	Wei, Qinglai,Wang, Lingxiao,Lu, Jingwei,&Wang, Fei-Yue.(2022).Discrete-Time Self-Learning Parallel Control.IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,52(1),192-204.
MLA	Wei, Qinglai,et al."Discrete-Time Self-Learning Parallel Control".IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 52.1(2022):192-204.