{"title":"Distributed Min-consensus for Second-order Nonlinear System with Disturbances","authors":"Qian Cui, Jiangshuai Huang, T. Gao","doi":"10.1109/ISASS.2019.8757722","DOIUrl":null,"url":null,"abstract":"This paper investigates the distributed min-consensus for second-order nonlinear multi-agent systems with external disturbances. A discontinuous integral sliding mode (ISM) protocol combined with finite-time stability theory is applied and a novel min-consensus algorithm is proposed in this paper. To eliminate the chattering phenomenon due to the discontinuous control, a continuous ISM consensus protocol is proposed. It is shown that output of the agents reach a common min-consensus of their initial states. The validity of the min-consensus algorithm is illustrated by a numerical example.","PeriodicalId":359959,"journal":{"name":"2019 3rd International Symposium on Autonomous Systems (ISAS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 3rd International Symposium on Autonomous Systems (ISAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISASS.2019.8757722","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper investigates the distributed min-consensus for second-order nonlinear multi-agent systems with external disturbances. A discontinuous integral sliding mode (ISM) protocol combined with finite-time stability theory is applied and a novel min-consensus algorithm is proposed in this paper. To eliminate the chattering phenomenon due to the discontinuous control, a continuous ISM consensus protocol is proposed. It is shown that output of the agents reach a common min-consensus of their initial states. The validity of the min-consensus algorithm is illustrated by a numerical example.