Qingyuan Li, Tian Chen, Yueyuan Zhang, Jun Huang, Lei Yu
{"title":"Distributed Observer Design For Multi-agent Systems With Semi-Markov Switching Topology And Incremental Quadratic Constraints","authors":"Qingyuan Li, Tian Chen, Yueyuan Zhang, Jun Huang, Lei Yu","doi":"10.1109/ICIST55546.2022.9926765","DOIUrl":null,"url":null,"abstract":"In this article, the issue of the distributed observer design for nonlinear multi-agent systems with semi-Markov jump topologies is discussed. At first, based on adjacency matrices, a new distributed observer framework for nonlinear multi-agent systems is proposed. Unlike other existing papers, the nonlinear iteam of this paper satisfies the incremental quadratic constraint. Then the error between distributed observer and multi-agent system is proved to be stochastic stable by Lyapunov and Dynkin's formula. In addition, the existence condition of the distributed observer is written in the form of linear matrix inequalities, which can be easily solved by the LMI toolbox in MATLAB. Finally, the main results are verified by an example.","PeriodicalId":211213,"journal":{"name":"2022 12th International Conference on Information Science and Technology (ICIST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 12th International Conference on Information Science and Technology (ICIST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIST55546.2022.9926765","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 article, the issue of the distributed observer design for nonlinear multi-agent systems with semi-Markov jump topologies is discussed. At first, based on adjacency matrices, a new distributed observer framework for nonlinear multi-agent systems is proposed. Unlike other existing papers, the nonlinear iteam of this paper satisfies the incremental quadratic constraint. Then the error between distributed observer and multi-agent system is proved to be stochastic stable by Lyapunov and Dynkin's formula. In addition, the existence condition of the distributed observer is written in the form of linear matrix inequalities, which can be easily solved by the LMI toolbox in MATLAB. Finally, the main results are verified by an example.