Distributed Event-Triggered Nash Equilibrium Seeking Under Hybrid Attacks and Dead-Zone Inputs: A Topology Reconstruction Approach

A distributed Nash equilibrium (NE) seeking algorithm is proposed for multi-agent systems under non-cooperative game settings, where players are subject to hybrid attacks composed of Denial-of-service (DoS) and false data injection (FDI) attacks. The unknown dead-zone inputs are also taken into account for each agent. An event-triggered strategy is employed to enhance communication efficiency. With a topology reconstruction scheme, the impacts of hybrid attacks are mitigated. With the proposed event-triggered NE-seeking algorithm, the convergence of the distributed NE-seeking algorithm is analyzed, and an upper bound for the DoS attack time ratio is provided. Finally, the effectiveness of the algorithm is validated through numerical simulations.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/icnc64304.2024.10987869
Primary Topic
Mathematical Biology Tumor Growth
Type
article
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article

Distributed Event-Triggered Nash Equilibrium Seeking Under Hybrid Attacks and Dead-Zone Inputs: A Topology Reconstruction Approach

Ying Wan, Junjie Fu, Tingwen Huang, Lu Xiao et al.
Mathematical Biology Tumor Growth
article

Distributed Event-Triggered Nash Equilibrium Seeking Under Hybrid Attacks and Dead-Zone Inputs: A Topology Reconstruction Approach

Ying Wan, Junjie Fu, Tingwen Huang, Lu Xiao, Shuting Chen
article en

Abstract

A distributed Nash equilibrium (NE) seeking algorithm is proposed for multi-agent systems under non-cooperative game settings, where players are subject to hybrid attacks composed of Denial-of-service (DoS) and false data injection (FDI) attacks. The unknown dead-zone inputs are also taken into account for each agent. An event-triggered strategy is employed to enhance communication efficiency. With a topology reconstruction scheme, the impacts of hybrid attacks are mitigated. With the proposed event-triggered NE-seeking algorithm, the convergence of the distributed NE-seeking algorithm is analyzed, and an upper bound for the DoS attack time ratio is provided. Finally, the effectiveness of the algorithm is validated through numerical simulations.

Shenzhen University (CN), Shenzhen Technology University (CN), Southeast University (CN)
Openalex Percentile: Top 72%
Mathematical Biology Tumor Growth
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