CASIA OpenIR
Event-triggered adaptive dynamic programming for discrete-time multi-player games
Wang, Ziyang1; Wei, Qinglai2; Liu, Derong3
Source PublicationINFORMATION SCIENCES
ISSN0020-0255
2020
Volume506Pages:457-470
Corresponding AuthorWei, Qinglai(qinglai.wei@ia.ac.cn)
AbstractFor multi-player games, the event-triggered adaptive dynamic programming (ADP) method with single triggering condition cannot be used. In this paper, an event-triggered ADP method with multiple triggering conditions is developed for multi-player non-zero-sum (NZS) games. Triggering conditions are designed for each player, and the control inputs will be updated only when the relevant conditions are satisfied. Besides, the developed method is implemented by single-network structure. Therefore, the computational burden can be reduced effectively. Additionally, the stability is analyzed for event-triggered multi-player systems. Finally, two examples are employed to show the effectiveness of the developed method. (C) 2019 Published by Elsevier Inc.
KeywordAdaptive dynamic programming Neural network Event-triggered control Multi-player game
DOI10.1016/j.ins.2019.05.071
WOS KeywordZERO-SUM GAMES ; OPTIMAL TRACKING CONTROL ; NONLINEAR-SYSTEMS ; MULTIAGENT SYSTEMS ; ADP ; NETWORKS
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[61233001] ; National Natural Science Foundation of China[61722312] ; National Natural Science Foundation of China[61374105] ; National Natural Science Foundation of China[61533017]
Funding OrganizationNational Natural Science Foundation of China
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems
WOS IDWOS:000489000300027
PublisherELSEVIER SCIENCE INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/26643
Collection中国科学院自动化研究所
Corresponding AuthorWei, Qinglai
Affiliation1.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
3.Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Wang, Ziyang,Wei, Qinglai,Liu, Derong. Event-triggered adaptive dynamic programming for discrete-time multi-player games[J]. INFORMATION SCIENCES,2020,506:457-470.
APA Wang, Ziyang,Wei, Qinglai,&Liu, Derong.(2020).Event-triggered adaptive dynamic programming for discrete-time multi-player games.INFORMATION SCIENCES,506,457-470.
MLA Wang, Ziyang,et al."Event-triggered adaptive dynamic programming for discrete-time multi-player games".INFORMATION SCIENCES 506(2020):457-470.
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