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Dynamic Games and Applications

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12.08.2023

Strategy Consensus of Networked Evolutionary Games with Time Invariant Delays

verfasst von: Zhiru Wang, Shihua Fu, Jianjun Wang, Xiaoyu Zhao

Erschienen in: Dynamic Games and Applications

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Abstract

This paper investigates the strategy consensus of networked evolutionary games with time invariant delays (DNEGs) in strategies, and presents a number of new results. Firstly, the model of DNEGs is proposed, then the algebraic form is constructed for DNEGs whose strategy updating rule is myopic best response adjustment by using the semi-tensor product method. Secondly, based on the algebraic form, the strategy consensus problem of DNEGs is discussed, and a criterion is given to detect whether DNEGs can achieve strategy consensus by means of a strategy regulation approach. Furthermore, the state feedback controllers are designed to realize the strategy consensus of DNEGs. Finally, an illustrative example is given to show the effectiveness of the obtained results.

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Metadaten
Titel
Strategy Consensus of Networked Evolutionary Games with Time Invariant Delays
verfasst von
Zhiru Wang
Shihua Fu
Jianjun Wang
Xiaoyu Zhao
Publikationsdatum
12.08.2023
Verlag
Springer US
Erschienen in
Dynamic Games and Applications
Print ISSN: 2153-0785
Elektronische ISSN: 2153-0793
DOI
https://doi.org/10.1007/s13235-023-00522-x