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Dynamic Event-Triggered Sliding Mode Resilient Control for Multi-Agent Systems

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This paper investigates the consensus problem of a multi-agent system (MAS) under stochastic DoS attacks using a sliding mode control mechanism. A distributed dynamic event-triggered strategy is implemented on the communication path among agents, with dynamic parameters adjusting the event-triggered condition threshold. A distributed sliding mode controller is proposed to ensure the stochastic consensus of the MAS, and a minimization problem is solved to obtain the correct controller gain matrix. The presented results are demonstrated through a numerical example.
The consensus problem for a multi-agent system (MAS) is investigated in this paper via a sliding mode control mechanism subject to stochastic DoS attack, which may occur on each transmission chan-nel independently and randomly according to the Bernoulli distribution. A distributed dynamic event -triggered strategy is implemented on the communication path among agents, where dynamic parameters are introduced to adjust the threshold of event-triggered condition. After that, a distributed sliding mode controller is proposed for ensuring the stochastic consensus of the MAS. Meantime, a minimization problem is solved to obtain the correct controller gain matrix. At last, a numerical example is shown to demonstrate the presented results.& COPY; 2023 The Franklin Institute. Published by Elsevier Inc. All rights reserved.

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