{"title":"Event-triggered based consensus control for a type of multi-agent systems","authors":"Jiantao Shi","doi":"10.1109/DDCLS49620.2020.9275173","DOIUrl":null,"url":null,"abstract":"In this note, the consensus control problem has been researched for a type of leader-follower multi-agent systems by using the event-triggered strategy. In order to eliminate continuous information transmission between the neighboring agents or nodes, the consensus controller is constructed by using the estimated state information of neighboring agents instead of their real states. The communication instants are determined by the developed event-triggered strategy to minimize the amount of communication between neighboring agents. A type of error convergence analysis based on Lyapunov function has been provided to prove the bounded convergence of the proposed consensus scheme. Finally, a simulation case is given to verify the effectiveness of the given event-based consensus control strategy.","PeriodicalId":420469,"journal":{"name":"2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DDCLS49620.2020.9275173","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this note, the consensus control problem has been researched for a type of leader-follower multi-agent systems by using the event-triggered strategy. In order to eliminate continuous information transmission between the neighboring agents or nodes, the consensus controller is constructed by using the estimated state information of neighboring agents instead of their real states. The communication instants are determined by the developed event-triggered strategy to minimize the amount of communication between neighboring agents. A type of error convergence analysis based on Lyapunov function has been provided to prove the bounded convergence of the proposed consensus scheme. Finally, a simulation case is given to verify the effectiveness of the given event-based consensus control strategy.