Prescribed-Time Practical Consensus of Nonlinear Multi-Agent Systems Subject to DoS Attacks via Event-Triggered Mechanism

This article studies the prescribed-time practical consensus problem for nonlinear multi-agent systems (MASs) subject to denial-of-service (DoS) attacks via an intermittent-based event-triggered mechanism. To this end, we first propose a time-varying scaling function based on the intermittent period, and then use this function to derive a new practical prescribed-time stability theory. Second, this paper further designs an intermittent-based event-triggered control protocol, along with a corresponding triggered function. The main innovation of this protocol is its ability to avoid singular phenomena as time approaches the prescribed instant and to reduce communication costs among all agents. Additionally, some sufficient conditions for achieving leader-following practical consensus are deduced by the proposed prescribed-time stability theory while also excluding Zeno behavior. Finally, two examples are given to verify the effectiveness and feasibility of the theoretical results.

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Publication Details

Journal
IEEE Transactions on Automation Science and Engineering
Published
2025-01-01
DOI
https://doi.org/10.1109/tase.2025.3561548
Citations
6
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
8.92

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article

Prescribed-Time Practical Consensus of Nonlinear Multi-Agent Systems Subject to DoS Attacks via Event-Triggered Mechanism

Xuehui Mei, Haijun Jiang, Xuening Xu, Zhiyong Yu
6 citations
IEEE Transactions on Automation Science and Engineering
Network Security and Intrusion Detection
8.92
article

Prescribed-Time Practical Consensus of Nonlinear Multi-Agent Systems Subject to DoS Attacks via Event-Triggered Mechanism

Xuehui Mei, Haijun Jiang, Xuening Xu, Zhiyong Yu
article en
6 citations

Abstract

This article studies the prescribed-time practical consensus problem for nonlinear multi-agent systems (MASs) subject to denial-of-service (DoS) attacks via an intermittent-based event-triggered mechanism. To this end, we first propose a time-varying scaling function based on the intermittent period, and then use this function to derive a new practical prescribed-time stability theory. Second, this paper further designs an intermittent-based event-triggered control protocol, along with a corresponding triggered function. The main innovation of this protocol is its ability to avoid singular phenomena as time approaches the prescribed instant and to reduce communication costs among all agents. Additionally, some sufficient conditions for achieving leader-following practical consensus are deduced by the proposed prescribed-time stability theory while also excluding Zeno behavior. Finally, two examples are given to verify the effectiveness and feasibility of the theoretical results.

IEEE Transactions on Automation Science and EngineeringVol. 22
Xinjiang University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 2%
Network Security and Intrusion Detection
8.92
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Prescribed-Time Practical Consensus of Nonlinear Multi-Agent Systems Subject to DoS Attacks via Event-Triggered Mechanism — Xuehui Mei, Haijun Jiang, et al. · IEEE Transactions on Automation Science and Engineering (2025) | TGRS Research Map | TGRS