Distributed Event-Triggered Nash Equilibrium Seeking for Aggregative Game with Second-Order Dynamics

Dear Editor, This letter studies the distributed Nash equilibrium seeking problem of aggregative game, in which the decision of each player obeys second-order dynamics and is constrained by nonidentical convex sets. To seek the generalized Nash equilibrium (GNE), a projection based distributed algorithm via constant step-sizes is developed with linear convergence. In particular, a variable tracking technique is incorporated to estimate the aggregative function, and an event-triggered mechanism is designed to reduce the communication cost. Finally, a numerical example demonstrates the theoretical results.

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Publication Details

Journal
IEEE/CAA Journal of Automatica Sinica
Published
2025-04-15
DOI
https://doi.org/10.1109/jas.2024.124830
Citations
2
Primary Topic
Extremum Seeking Control Systems
Type
article
Field-Weighted Citation Impact
2.43
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article

Distributed Event-Triggered Nash Equilibrium Seeking for Aggregative Game with Second-Order Dynamics

Yi Huang, Jian Sun, Qing Fei
2 citations
IEEE/CAA Journal of Automatica Sinica
Extremum Seeking Control Systems
2.43
article

Distributed Event-Triggered Nash Equilibrium Seeking for Aggregative Game with Second-Order Dynamics

Yi Huang, Jian Sun, Qing Fei
article en
2 citations

Abstract

Dear Editor, This letter studies the distributed Nash equilibrium seeking problem of aggregative game, in which the decision of each player obeys second-order dynamics and is constrained by nonidentical convex sets. To seek the generalized Nash equilibrium (GNE), a projection based distributed algorithm via constant step-sizes is developed with linear convergence. In particular, a variable tracking technique is incorporated to estimate the aggregative function, and an event-triggered mechanism is designed to reduce the communication cost. Finally, a numerical example demonstrates the theoretical results.

IEEE/CAA Journal of Automatica SinicaVol. 12(7)
Beijing Institute of Technology (CN)
Openalex Percentile: Top 12%
Extremum Seeking Control Systems
2.43
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