Control design to minimize the number of bankrupt players for networked evolutionary games with bankruptcy mechanism

This paper analyzed the strategy optimization problem of networked evolutionary games (NEGs) with bankruptcy mechanism. The main objective was to design a state-feedback control such that the number of bankrupt players is minimized. First, an algebraic expression was formulated for this type of NEGs...

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Main Authors: Liyuan Xia, Jianjun Wang, Shihua Fu, Yuxin Gao
Format: Article
Language:English
Published: AIMS Press 2024-12-01
Series:AIMS Mathematics
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/math.20241694
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author Liyuan Xia
Jianjun Wang
Shihua Fu
Yuxin Gao
author_facet Liyuan Xia
Jianjun Wang
Shihua Fu
Yuxin Gao
author_sort Liyuan Xia
collection DOAJ
description This paper analyzed the strategy optimization problem of networked evolutionary games (NEGs) with bankruptcy mechanism. The main objective was to design a state-feedback control such that the number of bankrupt players is minimized. First, an algebraic expression was formulated for this type of NEGs by the semi-tensor product of matrices, based on which the sets of profiles with different numbers of bankrupt players are defined. Second, a desired profile set in which the number of bankrupt players is no higher than a given value was obtained, and the convergence region of this set was calculated. Third, for any profile in the convergence region of the desired set, we propose a controller design method to minimize the number of bankrupt players. Finally, an example is given to illustrate the validity of our results.
format Article
id doaj-art-c2a508b885e5467eadf16419c23c4658
institution Kabale University
issn 2473-6988
language English
publishDate 2024-12-01
publisher AIMS Press
record_format Article
series AIMS Mathematics
spelling doaj-art-c2a508b885e5467eadf16419c23c46582025-01-23T07:53:25ZengAIMS PressAIMS Mathematics2473-69882024-12-01912357023572010.3934/math.20241694Control design to minimize the number of bankrupt players for networked evolutionary games with bankruptcy mechanismLiyuan Xia0Jianjun Wang1Shihua Fu2Yuxin Gao3School of Mathematical Sciences, Liaocheng University, Liaocheng 252000, ChinaSchool of Mathematical Sciences, Liaocheng University, Liaocheng 252000, ChinaSchool of Mathematical Sciences, Liaocheng University, Liaocheng 252000, ChinaSchool of Mathematical Sciences, Liaocheng University, Liaocheng 252000, ChinaThis paper analyzed the strategy optimization problem of networked evolutionary games (NEGs) with bankruptcy mechanism. The main objective was to design a state-feedback control such that the number of bankrupt players is minimized. First, an algebraic expression was formulated for this type of NEGs by the semi-tensor product of matrices, based on which the sets of profiles with different numbers of bankrupt players are defined. Second, a desired profile set in which the number of bankrupt players is no higher than a given value was obtained, and the convergence region of this set was calculated. Third, for any profile in the convergence region of the desired set, we propose a controller design method to minimize the number of bankrupt players. Finally, an example is given to illustrate the validity of our results.https://www.aimspress.com/article/doi/10.3934/math.20241694networked evolutionary gamesbankruptcy mechanismsemi-tensor product of matricesminimize the number of bankrupt players
spellingShingle Liyuan Xia
Jianjun Wang
Shihua Fu
Yuxin Gao
Control design to minimize the number of bankrupt players for networked evolutionary games with bankruptcy mechanism
AIMS Mathematics
networked evolutionary games
bankruptcy mechanism
semi-tensor product of matrices
minimize the number of bankrupt players
title Control design to minimize the number of bankrupt players for networked evolutionary games with bankruptcy mechanism
title_full Control design to minimize the number of bankrupt players for networked evolutionary games with bankruptcy mechanism
title_fullStr Control design to minimize the number of bankrupt players for networked evolutionary games with bankruptcy mechanism
title_full_unstemmed Control design to minimize the number of bankrupt players for networked evolutionary games with bankruptcy mechanism
title_short Control design to minimize the number of bankrupt players for networked evolutionary games with bankruptcy mechanism
title_sort control design to minimize the number of bankrupt players for networked evolutionary games with bankruptcy mechanism
topic networked evolutionary games
bankruptcy mechanism
semi-tensor product of matrices
minimize the number of bankrupt players
url https://www.aimspress.com/article/doi/10.3934/math.20241694
work_keys_str_mv AT liyuanxia controldesigntominimizethenumberofbankruptplayersfornetworkedevolutionarygameswithbankruptcymechanism
AT jianjunwang controldesigntominimizethenumberofbankruptplayersfornetworkedevolutionarygameswithbankruptcymechanism
AT shihuafu controldesigntominimizethenumberofbankruptplayersfornetworkedevolutionarygameswithbankruptcymechanism
AT yuxingao controldesigntominimizethenumberofbankruptplayersfornetworkedevolutionarygameswithbankruptcymechanism