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Strategy regulation of networked snowdrift games based on incentive mechanism.

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Title: Strategy regulation of networked snowdrift games based on incentive mechanism.
Authors: Gao, Yuxin1 (AUTHOR), Li, Xinye1 (AUTHOR), Fu, Shihua1 (AUTHOR) fush_shanda@163.com
Source: Asian Journal of Control. May2026, Vol. 28 Issue 3, p1172-1186. 15p.
Subjects: Game theory, State feedback (Feedback control systems), Monetary incentives, Incentive (Psychology), Matrix multiplications, Hybrid systems
Abstract: This paper investigates the strategy regulation problem of networked snowdrift games (SGs) with incentive mechanism and presents some new results. First, the dynamics of the networked SGs with periodic incentives are converted into an algebraic form using semi‐tensor product of matrices, and a periodic switching system is constructed to describe the dynamics of this kind of games. Second, the target profiles under which the total payoff of all players is not less than a given threshold are calculated, and a method to determine all the initial profiles that can converge to these target profiles under periodic incentives is given. Moreover, the range of incentive values for both optimal and ineffective incentives is obtained when each player has the same number of neighbors. Third, a state feedback switching scheme is proposed, which ensures that the total payoff of the game can meet the threshold condition under a finite number of incentives, thereby reducing the incentive cost. Finally, an example is given to validate the effectiveness of our theoretical results. [ABSTRACT FROM AUTHOR]
Copyright of Asian Journal of Control is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: Engineering Source
An: 193710615
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  Data: Strategy regulation of networked snowdrift games based on incentive mechanism.
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  Data: <searchLink fieldCode="AR" term="%22Gao%2C+Yuxin%22">Gao, Yuxin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Xinye%22">Li, Xinye</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fu%2C+Shihua%22">Fu, Shihua</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> fush_shanda@163.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Asian+Journal+of+Control%22">Asian Journal of Control</searchLink>. May2026, Vol. 28 Issue 3, p1172-1186. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Game+theory%22">Game theory</searchLink><br /><searchLink fieldCode="DE" term="%22State+feedback+%28Feedback+control+systems%29%22">State feedback (Feedback control systems)</searchLink><br /><searchLink fieldCode="DE" term="%22Monetary+incentives%22">Monetary incentives</searchLink><br /><searchLink fieldCode="DE" term="%22Incentive+%28Psychology%29%22">Incentive (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Matrix+multiplications%22">Matrix multiplications</searchLink><br /><searchLink fieldCode="DE" term="%22Hybrid+systems%22">Hybrid systems</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This paper investigates the strategy regulation problem of networked snowdrift games (SGs) with incentive mechanism and presents some new results. First, the dynamics of the networked SGs with periodic incentives are converted into an algebraic form using semi‐tensor product of matrices, and a periodic switching system is constructed to describe the dynamics of this kind of games. Second, the target profiles under which the total payoff of all players is not less than a given threshold are calculated, and a method to determine all the initial profiles that can converge to these target profiles under periodic incentives is given. Moreover, the range of incentive values for both optimal and ineffective incentives is obtained when each player has the same number of neighbors. Third, a state feedback switching scheme is proposed, which ensures that the total payoff of the game can meet the threshold condition under a finite number of incentives, thereby reducing the incentive cost. Finally, an example is given to validate the effectiveness of our theoretical results. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Asian Journal of Control is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/asjc.3717
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 1172
    Subjects:
      – SubjectFull: Game theory
        Type: general
      – SubjectFull: State feedback (Feedback control systems)
        Type: general
      – SubjectFull: Monetary incentives
        Type: general
      – SubjectFull: Incentive (Psychology)
        Type: general
      – SubjectFull: Matrix multiplications
        Type: general
      – SubjectFull: Hybrid systems
        Type: general
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      – TitleFull: Strategy regulation of networked snowdrift games based on incentive mechanism.
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            NameFull: Gao, Yuxin
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            NameFull: Li, Xinye
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            NameFull: Fu, Shihua
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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              Value: 28
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            – TitleFull: Asian Journal of Control
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