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Edge-based dynamic event-triggered mean square consensus control for stochastic multi-agent systems under weight-balanced digraph

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  • Chang, Beibei
  • Zhu, Chuanxi

Abstract

This paper focuses on the problem of mean square consensus for stochastic multi-agent systems. A new asynchronous edge-based dynamic event-triggered control protocol based on directed edges is designed. Using this event-triggered control protocol can reduce the frequency of event-triggered, save communication resources and avoid Zeno behavior. Since events on different edges occur independently of each other, there is no need for clock synchronization among neighbors. Besides, we relax the constraints on the communication topology of multi-agent systems by limiting it only to a weight-balanced digraph containing a directed spanning tree. In addition, the stochastic multi-agent systems can reach mean square consensus exponentially. Finally, this paper illustrates the effectiveness of the proposed asynchronous edge-based dynamic event-triggered control protocol by a simulation example.

Suggested Citation

  • Chang, Beibei & Zhu, Chuanxi, 2022. "Edge-based dynamic event-triggered mean square consensus control for stochastic multi-agent systems under weight-balanced digraph," Applied Mathematics and Computation, Elsevier, vol. 428(C).
    • Handle: RePEc:eee:apmaco:v:428:y:2022:i:c:s0096300322002843
    DOI: 10.1016/j.amc.2022.127210
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    References listed on IDEAS

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    1. Zhang, Juan & Zhang, Huaguang & Li, Weihua & Li, Keqin, 2021. "Distributed edge-event triggered consensus control for multi-agent systems by edge-based asynchronous communications," Applied Mathematics and Computation, Elsevier, vol. 397(C).
    2. Chang, Beibei & Mu, Xiaowu & Yang, Zhe & Fang, Jianyin, 2021. "Event-based secure consensus of muti-agent systems under asynchronous DoS attacks," Applied Mathematics and Computation, Elsevier, vol. 401(C).
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