中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 自动化研究所
  3. 中国科学院自动化研究所
  4. 多模态人工智能系统全国重点实验室
  5. 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

文献类型：期刊论文

作者Lu, Jingwei2,3; Wei, Qinglai2,3; Wang, Ziyang1; Zhou, Tianmin2,3; Wang, Fei-Yue2,3
刊名INFORMATION SCIENCES
出版日期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
DOI10.1016/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.
WOS关键词NONLINEAR-SYSTEMS ; OPTIMAL TRACKING
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研究方向Computer Science
语种英语
WOS记录号WOS:000720658400022
出版者ELSEVIER SCIENCE INC
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)
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.

入库方式： OAI收割

来源：自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。