Relative Output Feedback-Based Dynamic Event-Triggered Secure Consensus of Multi-Agent System With DoS Attack

This paper investigates the consensus problem of linear multi-agent systems (MASs) with relative output feedback under denial-of-service (DoS) attacks.A distributed control protocol based on relative output feedback is proposed, incorporating a dynamic event-triggered sampling strategy. By using the piecewise Lyapunov method, the convergence and divergence rates during attack-free periods and attack periods are obtained, thereby deriving the conditions for the system to achieve consensus, i.e., the attack frequency and duration of the attack model. Theoretical analysis proves that the event-triggering scheme excludes the Zeno behavior in the closed-loop system, and reconstructs the continuous-time relative information required for sampling errors, avoiding the need for continuous communication in triggering. Finally, numerical simulations are conducted to verify the effectiveness of the proposed scheme.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3594720
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Relative Output Feedback-Based Dynamic Event-Triggered Secure Consensus of Multi-Agent System With DoS Attack

Yu-Cheng Yang, Yilong Xiong, Ke-Xin Cai
IEEE Access
Network Security and Intrusion Detection
article

Relative Output Feedback-Based Dynamic Event-Triggered Secure Consensus of Multi-Agent System With DoS Attack

Yu-Cheng Yang, Yilong Xiong, Ke-Xin Cai
article en

Abstract

This paper investigates the consensus problem of linear multi-agent systems (MASs) with relative output feedback under denial-of-service (DoS) attacks.A distributed control protocol based on relative output feedback is proposed, incorporating a dynamic event-triggered sampling strategy. By using the piecewise Lyapunov method, the convergence and divergence rates during attack-free periods and attack periods are obtained, thereby deriving the conditions for the system to achieve consensus, i.e., the attack frequency and duration of the attack model. Theoretical analysis proves that the event-triggering scheme excludes the Zeno behavior in the closed-loop system, and reconstructs the continuous-time relative information required for sampling errors, avoiding the need for continuous communication in triggering. Finally, numerical simulations are conducted to verify the effectiveness of the proposed scheme.

IEEE AccessVol. 13
Hubei University of Automotive Technology (CN)
Openalex Percentile: Top 79%
Network Security and Intrusion Detection
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