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Publishing Language: Chinese | Open Access

Quasi-consensus of Multi-agent System under Dynamic Event-triggered Impulsive Mechanism

School of Automation, Guangdong University of Technology, Guangzhou 510006, China
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Abstract

Considering the situation that multi-agent systems subject to an external disturbance in the complex environment and malicious attacks in the controller, the leader-following quasi-consensus of a class of disturbed nonlinear multi-agent system under the impulsive control and an event-triggered mechanism is studied. Unlike existing literature that requires a minimum triggering interval to be specified in advance, Zeno behavior is avoided by setting appropriate parameters in the designed dynamic event-triggered mechanism. Based on this mechanism, some sufficient conditions to achieve quasi-consensus are further proposed, and the upper bound of error states is also estimated. Finally, a numerical simulation example verifies the feasibility of the results.

CLC number: TP273

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Journal of Guangdong University of Technology
Pages 52-60

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Cite this article:
Chen Y-s, Peng S-g, Wang Y-h. Quasi-consensus of Multi-agent System under Dynamic Event-triggered Impulsive Mechanism. Journal of Guangdong University of Technology, 2024, 41(4): 52-60. https://doi.org/10.12052/gdutxb.230084

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Received: 03 July 2023
Published: 01 July 2024
© 2024 Editorial Office of Journal of Guangdong University of Technology

This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/).