Optimization via game theoretic control

Summary 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...

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Bibliographic Details
Published inNational science review Vol. 7; no. 7; pp. 1120 - 1122
Main Authors Cheng, Daizhan, Liu, Zequn
Format Journal Article
LanguageEnglish
Published Oxford University Press 01.07.2020
Subjects
Special Topic: Games in Control Systems
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Summary:Summary 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).
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ISSN:2095-5138
2053-714X
DOI:10.1093/nsr/nwaa019