Event-triggered optimal control for discrete-time multi-player non-zero-sum games using parallel control

doi:10.1016/j.ins.2021.10.073

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 先进控制与自动化团队

	Event-triggered optimal control for discrete-time multi-player non-zero-sum games using parallel control
	Lu, Jingwei 2,3; Wei, Qinglai 2,3; Wang, Ziyang 1; Zhou, Tianmin 2,3; Wang, Fei-Yue 2,3
刊名	INFORMATION SCIENCES
	2022
卷号	584 页码:519-535
关键词	Event-triggered Non-zero-sum games Parallel control Neural network Adaptive dynamic programming
ISSN号	0020-0255
DOI	10.1016/j.ins.2021.10.073
通讯作者	Wang, Fei-Yue(feiyue.wang@ia.ac.cn)
英文摘要	This paper presents a novel event-triggered optimal control (ETOC) method for discrete -time (DT) multi-player non-zero-sum games (NZSGs). First, a novel event-triggered algo-rithm is developed for DT multi-player NZSGs based on the time-triggered optimal value functions. Therefore, the developed event-triggered algorithm only needs to solve the time-triggered Hamilton-Jacobi-Bellman (HJB) equations. Then, the asymptotic stability of the closed-loop system is proved. Additionally, we show that an upper bound for the sum of the actual performance indices of all the players can be determined in advance. A key step in the implementation of the developed event-triggered algorithm is to obtain the next state of the actual system, which is difficult to implement on the actual system. Thus, a parallel control method is utilized to predict the next state by constructing the par-allel system for the actual system and obtain the optimal value functions. The method that combines the developed event-triggered algorithm and parallel control is called the event-triggered optimal parallel control (ETOPC) method. The neural network (NN) technique and the iterative adaptive dynamic programming (IADP) technique are employed in parallel control. Moreover, the control stability is shown further in the consideration of the NN weight approximation errors. Finally, two simulations justify the theoretical conjectures. (c) 2021 Elsevier Inc. All rights reserved.
资助项目	National Key Research and Development Program of China[2018AAA0101502] ; National Natural Science Foundation of China[U1811463] ; Intel Collaborative Research Institute for Intelligent and Automated Connected Vehicles (ICRI-IACV)
WOS关键词	NONLINEAR-SYSTEMS ; OPTIMAL TRACKING
WOS研究方向	Computer Science
语种	英语
出版者	ELSEVIER SCIENCE INC
WOS记录号	WOS:000720658400022
资助机构	National Key Research and Development Program of China ; National Natural Science Foundation of China ; Intel Collaborative Research Institute for Intelligent and Automated Connected Vehicles (ICRI-IACV)
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/46494]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者	Wang, Fei-Yue
作者单位	1.Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Lu, Jingwei,Wei, Qinglai,Wang, Ziyang,et al. Event-triggered optimal control for discrete-time multi-player non-zero-sum games using parallel control[J]. INFORMATION SCIENCES,2022,584:519-535.
APA	Lu, Jingwei,Wei, Qinglai,Wang, Ziyang,Zhou, Tianmin,&Wang, Fei-Yue.(2022).Event-triggered optimal control for discrete-time multi-player non-zero-sum games using parallel control.INFORMATION SCIENCES,584,519-535.
MLA	Lu, Jingwei,et al."Event-triggered optimal control for discrete-time multi-player non-zero-sum games using parallel control".INFORMATION SCIENCES 584(2022):519-535.