Distributed Resilient Nash Equilibrium Seeking for Aggregative Games of Second‐Order Systems Under Dos Attacks

ABSTRACT This paper investigates the distributed Nash equilibrium seeking problem for aggregative games over a second‐order multi‐agent network subject to denial‐of‐service (DoS) attacks. To solve this problem, a novel distributed algorithm is designed based on state estimation and adaptive gains, where each player can estimate the information of other nodes under DoS attacks. Then, the convergence of this algorithm is analyzed by the Lyapunov method and switched system theory. Furthermore, this algorithm overcomes the challenge caused by time‐varying topologies resulting from DoS attacks. Finally, a simulation example is presented to confirm the validity and correctness of the distributed algorithm designed in this paper.

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Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2025-06-18
DOI
https://doi.org/10.1002/rnc.70027
Citations
2
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
3.76

Funders

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article

Distributed Resilient Nash Equilibrium Seeking for Aggregative Games of Second‐Order Systems Under Dos Attacks

Meng Yao, Peng Yi, Siliang Cheng, Shuicheng Yan
2 citations
International Journal of Robust and Nonlinear Control
Mathematical and Theoretical Epidemiology and Ecology Models
3.76
article

Distributed Resilient Nash Equilibrium Seeking for Aggregative Games of Second‐Order Systems Under Dos Attacks

Meng Yao, Peng Yi, Siliang Cheng, Shuicheng Yan
article en
2 citations

Abstract

ABSTRACT This paper investigates the distributed Nash equilibrium seeking problem for aggregative games over a second‐order multi‐agent network subject to denial‐of‐service (DoS) attacks. To solve this problem, a novel distributed algorithm is designed based on state estimation and adaptive gains, where each player can estimate the information of other nodes under DoS attacks. Then, the convergence of this algorithm is analyzed by the Lyapunov method and switched system theory. Furthermore, this algorithm overcomes the challenge caused by time‐varying topologies resulting from DoS attacks. Finally, a simulation example is presented to confirm the validity and correctness of the distributed algorithm designed in this paper.

International Journal of Robust and Nonlinear ControlVol. 35(16)
Tongji University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 7%
Mathematical and Theoretical Epidemiology and Ecology Models
3.76
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