Distributed Robust Predefined-Time Algorithm for Seeking Nash Equilibrium in MASs

Dear Editor, This letter presents a solution to the problem of seeking Nash equilibrium (NE) in a class of non-cooperative games of multi-agent systems (MASs) subject to the input disturbance and the networked communication. To this end, a novel distributed robust predefined-time algorithm is proposed, which ensures the precise convergence of agent states to the NE within a settling time that can be directly determined by adjusting one or more parameters. The proposed algorithm employs an integral sliding mode strategy to effectively reject disturbances. Additionally, a consensus-based estimator is designed to overcome the challenge of limited information availability, where each agent can only access information from its directly connected neighbors, which conflicts with the computation of the cost function that requires information from all agents. Finally, a numerical example is provided to demonstrate the algorithm's effectiveness and performance.

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Publication Details

Journal
IEEE/CAA Journal of Automatica Sinica
Published
2024-10-07
DOI
https://doi.org/10.1109/jas.2023.123879
Citations
8
Primary Topic
Extremum Seeking Control Systems
Type
article
Field-Weighted Citation Impact
1.97
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article

Distributed Robust Predefined-Time Algorithm for Seeking Nash Equilibrium in MASs

Ming‐Feng Ge, Jing‐Zhe Xu, Yan‐Wu Wang, Zhi‐Wei Liu et al.
8 citations
IEEE/CAA Journal of Automatica Sinica
Extremum Seeking Control Systems
1.97
article

Distributed Robust Predefined-Time Algorithm for Seeking Nash Equilibrium in MASs

Ming‐Feng Ge, Jing‐Zhe Xu, Yan‐Wu Wang, Zhi‐Wei Liu, Dingxin He
article en
8 citations

Abstract

Dear Editor, This letter presents a solution to the problem of seeking Nash equilibrium (NE) in a class of non-cooperative games of multi-agent systems (MASs) subject to the input disturbance and the networked communication. To this end, a novel distributed robust predefined-time algorithm is proposed, which ensures the precise convergence of agent states to the NE within a settling time that can be directly determined by adjusting one or more parameters. The proposed algorithm employs an integral sliding mode strategy to effectively reject disturbances. Additionally, a consensus-based estimator is designed to overcome the challenge of limited information availability, where each agent can only access information from its directly connected neighbors, which conflicts with the computation of the cost function that requires information from all agents. Finally, a numerical example is provided to demonstrate the algorithm's effectiveness and performance.

IEEE/CAA Journal of Automatica SinicaVol. 12(5)
China University of Geosciences (CN), Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 13%
Extremum Seeking Control Systems
1.97
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