{"title":"测量扰动下非线性多智能体系统的鲁棒状态一致性","authors":"Zhanxiu Wang, Tengfei Liu, Zhong-Ping Jiang","doi":"10.23919/CHICC.2018.8483861","DOIUrl":null,"url":null,"abstract":"This paper studies the robust state agreement of nonlinear multi-agent systems in the presence of measurement disturbances. With the switching topology satisfying a mild joint connectivity condition, it is proved that robust state agreement can be achieved if the interaction functions are radially unbounded and satisfy a sector bound condition. If the conditions are not satisfied, a local robust state agreement result is also developed.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Robust State Agreement of Nonlinear Multi-agent Systems Subject to Measurement Disturbances\",\"authors\":\"Zhanxiu Wang, Tengfei Liu, Zhong-Ping Jiang\",\"doi\":\"10.23919/CHICC.2018.8483861\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper studies the robust state agreement of nonlinear multi-agent systems in the presence of measurement disturbances. With the switching topology satisfying a mild joint connectivity condition, it is proved that robust state agreement can be achieved if the interaction functions are radially unbounded and satisfy a sector bound condition. If the conditions are not satisfied, a local robust state agreement result is also developed.\",\"PeriodicalId\":158442,\"journal\":{\"name\":\"2018 37th Chinese Control Conference (CCC)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 37th Chinese Control Conference (CCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/CHICC.2018.8483861\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 37th Chinese Control Conference (CCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/CHICC.2018.8483861","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Robust State Agreement of Nonlinear Multi-agent Systems Subject to Measurement Disturbances
This paper studies the robust state agreement of nonlinear multi-agent systems in the presence of measurement disturbances. With the switching topology satisfying a mild joint connectivity condition, it is proved that robust state agreement can be achieved if the interaction functions are radially unbounded and satisfy a sector bound condition. If the conditions are not satisfied, a local robust state agreement result is also developed.