{"title":"不确定非线性多智能体系统的分布式容错一致性控制","authors":"Zhijie Li, C. Hua, Kuo Li","doi":"10.1109/ISASS.2019.8757715","DOIUrl":null,"url":null,"abstract":"This paper investigates a distributed fault-tolerant consensus control problem for a class of uncertain nonlinear multi-agent systems with actuator faults and process faults. Most of the existing works about tolerant control for multi-agent systems solely consider actuator faults. Different from the works, the proposed faults in this paper are more comprehensive subjecting to both actuator faults and process faults. For the un-certain nonlinear term, we propose a less conservative Lipschitz condition. Based on the Lyapunov stability theory, it is proved strictly that the proposed controllers make the followers reach consensus with the leader. Finally, a simulation example is given to verify the effectiveness of the theoretical result.","PeriodicalId":359959,"journal":{"name":"2019 3rd International Symposium on Autonomous Systems (ISAS)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Distributed fault-tolerant consensus control for uncertain nonlinear multi-agent systems\",\"authors\":\"Zhijie Li, C. Hua, Kuo Li\",\"doi\":\"10.1109/ISASS.2019.8757715\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigates a distributed fault-tolerant consensus control problem for a class of uncertain nonlinear multi-agent systems with actuator faults and process faults. Most of the existing works about tolerant control for multi-agent systems solely consider actuator faults. Different from the works, the proposed faults in this paper are more comprehensive subjecting to both actuator faults and process faults. For the un-certain nonlinear term, we propose a less conservative Lipschitz condition. Based on the Lyapunov stability theory, it is proved strictly that the proposed controllers make the followers reach consensus with the leader. Finally, a simulation example is given to verify the effectiveness of the theoretical result.\",\"PeriodicalId\":359959,\"journal\":{\"name\":\"2019 3rd International Symposium on Autonomous Systems (ISAS)\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 3rd International Symposium on Autonomous Systems (ISAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISASS.2019.8757715\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 3rd International Symposium on Autonomous Systems (ISAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISASS.2019.8757715","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distributed fault-tolerant consensus control for uncertain nonlinear multi-agent systems
This paper investigates a distributed fault-tolerant consensus control problem for a class of uncertain nonlinear multi-agent systems with actuator faults and process faults. Most of the existing works about tolerant control for multi-agent systems solely consider actuator faults. Different from the works, the proposed faults in this paper are more comprehensive subjecting to both actuator faults and process faults. For the un-certain nonlinear term, we propose a less conservative Lipschitz condition. Based on the Lyapunov stability theory, it is proved strictly that the proposed controllers make the followers reach consensus with the leader. Finally, a simulation example is given to verify the effectiveness of the theoretical result.