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Optimization via game theoretic control
Cheng, Daizhan1; Liu, Zequn1,2
2020-07-01
发表期刊NATIONAL SCIENCE REVIEW
ISSN2095-5138
卷号7期号:7页码:1120-1122
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).
DOI10.1093/nsr/nwaa019
收录类别SCI
语种英语
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
WOS类目Multidisciplinary Sciences
WOS记录号WOS:000572865000004
出版者OXFORD UNIV PRESS
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/52224
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.Chinese Acad Sci, Acad Math & Syst Sci, Key Lab Syst & Control, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Sch Math Sci, 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.
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