{"title":"Leader-following consensus for an integrator-type nonlinear multi-agent systems using distributed adaptive protocol","authors":"Chuanrui Wang, Xinghu Wang, H. Ji","doi":"10.1109/ICCA.2013.6564881","DOIUrl":null,"url":null,"abstract":"This paper deals with the leader-following consensus problem for a class of multi-agent systems with nonlinear dynamics and directed communication topology. Two distributed adaptive nonlinear control laws are proposed based on the relative state information between neighboring agents, which solve the leader-following consensus problem and the inverse optimal adaptive leader-following consensus problem, respectively. Compared with the existing results in the literature, we do not put any restrictions on nonlinear functions and the adaptive consensus protocols are in a fully distributed fashion. A numerical example is given to verify the theoretical analysis.","PeriodicalId":336534,"journal":{"name":"2013 10th IEEE International Conference on Control and Automation (ICCA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 10th IEEE International Conference on Control and Automation (ICCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCA.2013.6564881","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 25
Abstract
This paper deals with the leader-following consensus problem for a class of multi-agent systems with nonlinear dynamics and directed communication topology. Two distributed adaptive nonlinear control laws are proposed based on the relative state information between neighboring agents, which solve the leader-following consensus problem and the inverse optimal adaptive leader-following consensus problem, respectively. Compared with the existing results in the literature, we do not put any restrictions on nonlinear functions and the adaptive consensus protocols are in a fully distributed fashion. A numerical example is given to verify the theoretical analysis.