{"title":"Bipartite Consensus Problem of Second-order Multi-agent Systems with Disturbances","authors":"Hang Tian, Chenglin Liu, Guangbin Liu","doi":"10.1109/ICARCV.2018.8581179","DOIUrl":null,"url":null,"abstract":"This paper studies the bipartite consensus problem for second-order multi-agent systems with distinct disturbances. The interactions between agents are described by a signed directed graph. For structurally balanced networks, a generalized bipartite consensus algorithm with disturbances' observers is proposed. Necessary and sufficient conditions are obtained to achieve bipartite consensus with the well designed algorithm by using frequency-domain analysis and matrix theory. Finally, simulations are shown to verify the correctness of presented results.","PeriodicalId":395380,"journal":{"name":"2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICARCV.2018.8581179","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper studies the bipartite consensus problem for second-order multi-agent systems with distinct disturbances. The interactions between agents are described by a signed directed graph. For structurally balanced networks, a generalized bipartite consensus algorithm with disturbances' observers is proposed. Necessary and sufficient conditions are obtained to achieve bipartite consensus with the well designed algorithm by using frequency-domain analysis and matrix theory. Finally, simulations are shown to verify the correctness of presented results.
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