Wanzhen Quan, Xiaogang Yang, Xinzhong Han, Jianxiang Xi
{"title":"Guaranteed-performance leader-following consensus for one-sided Lipschitz nonlinear multi-agent systems","authors":"Wanzhen Quan, Xiaogang Yang, Xinzhong Han, Jianxiang Xi","doi":"10.1109/CCDC52312.2021.9601566","DOIUrl":null,"url":null,"abstract":"This paper addresses the guaranteed-performance leader-following consensus for one-sided Lipschitz (OSL) nonlinear multi-agent systems. Firstly, a leader-following control protocol is proposed by the joint design between the guaranteed-performance control and the consensus control. Then, based on the quadratic inner bounded condition and the OSL condition, a sufficient condition for the guaranteed-performance leader-following consensus design is proposed by the linear matrix inequality. At last, a numerical example is given to verify the effectiveness of proposed results.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 33rd Chinese Control and Decision Conference (CCDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC52312.2021.9601566","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
This paper addresses the guaranteed-performance leader-following consensus for one-sided Lipschitz (OSL) nonlinear multi-agent systems. Firstly, a leader-following control protocol is proposed by the joint design between the guaranteed-performance control and the consensus control. Then, based on the quadratic inner bounded condition and the OSL condition, a sufficient condition for the guaranteed-performance leader-following consensus design is proposed by the linear matrix inequality. At last, a numerical example is given to verify the effectiveness of proposed results.