Non‐Fragile Secure Consensus Control of Second‐Order Multiagent Systems Under DoS Attacks

ABSTRACT This article investigates non‐fragile secure consensus control of second‐order linear/nonlinear multiagent systems under denial‐of‐service attacks. When both uncertainties and denial‐of‐service attacks exist in the communication networks at the same time, distributed non‐fragile secure consensus algorithms are designed to realize the consensus, and model‐based Lyapunov functions combined with the average dwell‐time method are employed for the subsequent stability analysis. Sufficient conditions guaranteeing the asymptotic consensus of the systems are developed in light of the controller parameters, duration, and frequency of the attacks. The control performance is further considered in the existence of the external disturbances. Numerical simulations are provided to demonstrate that the secure consensus can be reached effectively under the proposed control mechanism.

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Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2026-11-04
DOI
https://doi.org/10.1002/rnc.70824
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
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article

Non‐Fragile Secure Consensus Control of Second‐Order Multiagent Systems Under DoS Attacks

Junyan Yu, Chenxin Ge
International Journal of Robust and Nonlinear Control
Distributed Control Multi-Agent Systems
article

Non‐Fragile Secure Consensus Control of Second‐Order Multiagent Systems Under DoS Attacks

Junyan Yu, Chenxin Ge
article en

Abstract

ABSTRACT This article investigates non‐fragile secure consensus control of second‐order linear/nonlinear multiagent systems under denial‐of‐service attacks. When both uncertainties and denial‐of‐service attacks exist in the communication networks at the same time, distributed non‐fragile secure consensus algorithms are designed to realize the consensus, and model‐based Lyapunov functions combined with the average dwell‐time method are employed for the subsequent stability analysis. Sufficient conditions guaranteeing the asymptotic consensus of the systems are developed in light of the controller parameters, duration, and frequency of the attacks. The control performance is further considered in the existence of the external disturbances. Numerical simulations are provided to demonstrate that the secure consensus can be reached effectively under the proposed control mechanism.

International Journal of Robust and Nonlinear Control
University of Electronic Science and Technology of China (CN)
Openalex Percentile: Top 15%
Distributed Control Multi-Agent Systems
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