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

doi:10.1016/j.ins.2021.10.073

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

	Event-triggered optimal control for discrete-time multi-player non-zero-sum games using parallel control
	Lu, Jingwei1,2 ; Wei, Qinglai1,2 ; Wang, Ziyang 3; Zhou, Tianmin 1,2; Wang, Fei-Yue1,2
发表期刊	INFORMATION SCIENCES
ISSN	0020-0255
	2022
卷号	584 页码:519-535
通讯作者	Wang, Fei-Yue(feiyue.wang@ia.ac.cn)
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.
关键词	Event-triggered Non-zero-sum games Parallel control Neural network Adaptive dynamic programming
DOI	10.1016/j.ins.2021.10.073
关键词[WOS]	NONLINEAR-SYSTEMS ; OPTIMAL TRACKING
收录类别	SCI
语种	英语
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)
项目资助者	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)
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems
WOS记录号	WOS:000720658400022
出版者	ELSEVIER SCIENCE 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：16[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/173211/46495
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	Wang, Fei-Yue
作者单位	1.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.Tsinghua Univ, Dept Automat, Beijing 100084, 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	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.