Optimization via game theoretic control

doi:10.1093/nsr/nwaa019

	Optimization via game theoretic control
	Cheng, Daizhan 2; Liu, Zequn 1,2
刊名	NATIONAL SCIENCE REVIEW
	2020-07-01
卷号	7 期号:7 页码:1120-1122
ISSN号	2095-5138
DOI	10.1093/nsr/nwaa019
英文摘要	Using game theoretic control to solve optimization problem is a recently developed promising method. The key technique is to convert a networked system into a potential game, with a pre-assigned criterion as the potential function. An algorithm is designed for updating strategies to reach a Nash equilibrium (i.e. optimal solution).
资助项目	National Natural Science Foundation of China[61773371] ; National Natural Science Foundation of China[61733018]
WOS研究方向	Science & Technology - Other Topics
语种	英语
出版者	OXFORD UNIV PRESS
WOS记录号	WOS:000572865000004
内容类型	期刊论文
源URL	[http://ir.amss.ac.cn/handle/2S8OKBNM/52223]
专题	中国科学院数学与系统科学研究院
通讯作者	Cheng, Daizhan
作者单位	1.Univ Chinese Acad Sci, Sch Math Sci, Beijing, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Key Lab Syst & Control, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Cheng, Daizhan,Liu, Zequn. Optimization via game theoretic control[J]. NATIONAL SCIENCE REVIEW,2020,7(7):1120-1122.
APA	Cheng, Daizhan,&Liu, Zequn.(2020).Optimization via game theoretic control.NATIONAL SCIENCE REVIEW,7(7),1120-1122.
MLA	Cheng, Daizhan,et al."Optimization via game theoretic control".NATIONAL SCIENCE REVIEW 7.7(2020):1120-1122.