A dynamic event‐triggered resilient control design for linear multi‐agent systems under DoS attacks

Abstract This article investigates the consensus problem for multi‐agent systems subject to DoS attacks under a directed communication topology. First, a dynamic event‐triggered mechanism is designed to reduce the frequency of control updates. Then, an event‐based resilient controller is provided, which ensures exponential convergence of all agents, even in the face of DoS attacks. The asymptotic stability conditions of the error system are derived through the analysis of the Lyapunov function, and Zeno behavior is strictly excluded. Additionally, the proposed event‐triggered mechanism can reduce the frequency of triggers effectively. Finally, a numerical example is given to illustrate the effectiveness of the theoretical results.

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Publication Details

Journal
Asian Journal of Control
Published
2025-11-07
DOI
https://doi.org/10.1002/asjc.70022
Primary Topic
Adaptive Dynamic Programming Control
Type
article
Field-Weighted Citation Impact
0.00
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article

A dynamic event‐triggered resilient control design for linear multi‐agent systems under DoS attacks

Guo Yu, Mouquan Shen, Yanhui Jing, Liwei Li et al.
Asian Journal of Control
Adaptive Dynamic Programming Control
article

A dynamic event‐triggered resilient control design for linear multi‐agent systems under DoS attacks

Guo Yu, Mouquan Shen, Yanhui Jing, Liwei Li, D. Liu
article en

Abstract

Abstract This article investigates the consensus problem for multi‐agent systems subject to DoS attacks under a directed communication topology. First, a dynamic event‐triggered mechanism is designed to reduce the frequency of control updates. Then, an event‐based resilient controller is provided, which ensures exponential convergence of all agents, even in the face of DoS attacks. The asymptotic stability conditions of the error system are derived through the analysis of the Lyapunov function, and Zeno behavior is strictly excluded. Additionally, the proposed event‐triggered mechanism can reduce the frequency of triggers effectively. Finally, a numerical example is given to illustrate the effectiveness of the theoretical results.

Asian Journal of Control
Xinyang Normal University (CN), Nanjing Tech University (CN)
Openalex Percentile: Top 66%
Adaptive Dynamic Programming Control
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