Dynamic Event‐Triggering Anti‐Disturbance Control of Nonlinear Multi‐Agent Systems Under Random Deception Attacks

ABSTRACT This paper is devoted to the dynamic event‐triggering anti‐disturbance control of nonlinear multi‐agent systems under random deception attacks. An intermediate observer is built for each agent to simultaneously estimate both the system states and unknown disturbances. A novel dynamic event‐triggering condition based on the variable threshold is designed to minimize communication resources, which comprises both instantaneous and historical triggering errors. A resilient security control law and a corresponding sufficient condition, expressed as linear matrix inequalities, are developed to guarantee the bounded stability of the resultant closed‐loop system. Ultimately, simulations are performed to evaluate the effectiveness of the provided scheme.

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Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2025-09-16
DOI
https://doi.org/10.1002/rnc.70193
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Dynamic Event‐Triggering Anti‐Disturbance Control of Nonlinear Multi‐Agent Systems Under Random Deception Attacks

Jun Chen, Liwei Li, Yan Liu, D. Liu
International Journal of Robust and Nonlinear Control
Distributed Control Multi-Agent Systems
article

Dynamic Event‐Triggering Anti‐Disturbance Control of Nonlinear Multi‐Agent Systems Under Random Deception Attacks

Jun Chen, Liwei Li, Yan Liu, D. Liu
article en

Abstract

ABSTRACT This paper is devoted to the dynamic event‐triggering anti‐disturbance control of nonlinear multi‐agent systems under random deception attacks. An intermediate observer is built for each agent to simultaneously estimate both the system states and unknown disturbances. A novel dynamic event‐triggering condition based on the variable threshold is designed to minimize communication resources, which comprises both instantaneous and historical triggering errors. A resilient security control law and a corresponding sufficient condition, expressed as linear matrix inequalities, are developed to guarantee the bounded stability of the resultant closed‐loop system. Ultimately, simulations are performed to evaluate the effectiveness of the provided scheme.

International Journal of Robust and Nonlinear ControlVol. 36(3)
Nanjing Tech University (CN), Nanjing University of Information Science and Technology (CN)
Openalex Percentile: Top 71%
Distributed Control Multi-Agent Systems
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Dynamic Event‐Triggering Anti‐Disturbance Control of Nonlinear Multi‐Agent Systems Under Random Deception Attacks — Jun Chen, Liwei Li, et al. · International Journal of Robust and Nonlinear Control (2025) | TGRS Research Map | TGRS