Dynamic Event-Triggered Cluster Consensus for Multiagent Systems Under DoS Attacks With Antagonistic Interactions

In this article, we investigate the cluster consensus problem of multiagent systems (MASs) with general linear dynamics and weighted antagonistic interactions under aperiodic denial-of-service (DoS) attacks. First, an event-triggered communication mechanism is designed to efficiently reduce unnecessary message transmission over unreliable networks, where the event-triggered function with dynamically varying thresholds is designed based on the state estimators instead of the real-time states so that continuous communication can be avoided both in controller updates and triggering threshold detection. Then, a novel event-triggered cluster consensus protocol is designed for MASs with DoS attacks and structurally balanced signed digraphs, where Zeno behavior can be strictly excluded by the proposed triggering mechanism. Furthermore, to cope with the structurally unbalanced signed digraph, an improved event-triggered resilient consensus protocol is developed by introducing a pinning control strategy. By utilizing the piecewise Lyapunov functional approach, some sufficient conditions are derived for the cluster consensus under structurally balanced and unbalanced signed digraphs, while the selection principles of event-triggered parameters and resilient controller gains are obtained. Finally, the validity of the theoretical results is verified by practical simulation examples.

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Publication Details

Journal
IEEE Transactions on Systems Man and Cybernetics Systems
Published
2025-03-27
DOI
https://doi.org/10.1109/tsmc.2025.3549726
Citations
4
Primary Topic
Distributed systems and fault tolerance
Type
article
Field-Weighted Citation Impact
5.95

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article

Dynamic Event-Triggered Cluster Consensus for Multiagent Systems Under DoS Attacks With Antagonistic Interactions

Xinxi Lu, Siwen Zhou, Wenling Li, Jiang Long et al.
4 citations
IEEE Transactions on Systems Man and Cybernetics Systems
Distributed systems and fault tolerance
5.95
article

Dynamic Event-Triggered Cluster Consensus for Multiagent Systems Under DoS Attacks With Antagonistic Interactions

Xinxi Lu, Siwen Zhou, Wenling Li, Jiang Long, Yang Liu
article en
4 citations

Abstract

In this article, we investigate the cluster consensus problem of multiagent systems (MASs) with general linear dynamics and weighted antagonistic interactions under aperiodic denial-of-service (DoS) attacks. First, an event-triggered communication mechanism is designed to efficiently reduce unnecessary message transmission over unreliable networks, where the event-triggered function with dynamically varying thresholds is designed based on the state estimators instead of the real-time states so that continuous communication can be avoided both in controller updates and triggering threshold detection. Then, a novel event-triggered cluster consensus protocol is designed for MASs with DoS attacks and structurally balanced signed digraphs, where Zeno behavior can be strictly excluded by the proposed triggering mechanism. Furthermore, to cope with the structurally unbalanced signed digraph, an improved event-triggered resilient consensus protocol is developed by introducing a pinning control strategy. By utilizing the piecewise Lyapunov functional approach, some sufficient conditions are derived for the cluster consensus under structurally balanced and unbalanced signed digraphs, while the selection principles of event-triggered parameters and resilient controller gains are obtained. Finally, the validity of the theoretical results is verified by practical simulation examples.

IEEE Transactions on Systems Man and Cybernetics SystemsVol. 55(6)
Northwestern Polytechnical University (CN), Beihang University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 4%
Distributed systems and fault tolerance
5.95
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Dynamic Event-Triggered Cluster Consensus for Multiagent Systems Under DoS Attacks With Antagonistic Interactions — Xinxi Lu, Siwen Zhou, et al. · IEEE Transactions on Systems Man and Cybernetics Systems (2025) | TGRS Research Map | TGRS