 Edge-based dynamic event-triggered mean square consensus control for stochastic multi-agent systems under weight-balanced digraphBeibei Chang and Chuanxi Zhu Applied Mathematics and Computation, 2022, vol. 428, issue C 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. Keywords: Edge-based protocol; Directed topology; Stochastic multi-agent systems; Dynamic event-triggered control (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:428:y:2022:i:c:s0096300322002843 DOI: 10.1016/j.amc.2022.127210 Access Statistics for this article Applied Mathematics and Computation is currently edited by Theodore Simos More articles in Applied Mathematics and Computation from Elsevier |
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