{"title":"具有一般线性节点动力学的交换有向网络的一致性控制","authors":"G. Wen, Wenwu Yu, Jinde Cao, G. Hu, Guanrong Chen","doi":"10.1109/ASCC.2013.6606204","DOIUrl":null,"url":null,"abstract":"Distributed consensus control for multi-agent systems with general linear node dynamics and switching balanced directed topologies is addressed in this paper. By using tools from algebraic graph theory and switching systems theory, it is proved that distributed consensus in the closed-loop linear multiagent systems with switching balanced directed topologies can be achieved if, the feedback gain matrix of the protocol is appropriately designed and the coupling strength among neighboring agents is larger than a threshold value. The convergence rate for the achievement of consensus is further discussed. Interestingly, it is found that an arbitrarily given large convergence rate can be guaranteed if each agent is controllable. The proposed results are verified through numerical simulations.","PeriodicalId":6304,"journal":{"name":"2013 9th Asian Control Conference (ASCC)","volume":"9 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Consensus control of switching directed networks with general linear node dynamics\",\"authors\":\"G. Wen, Wenwu Yu, Jinde Cao, G. Hu, Guanrong Chen\",\"doi\":\"10.1109/ASCC.2013.6606204\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Distributed consensus control for multi-agent systems with general linear node dynamics and switching balanced directed topologies is addressed in this paper. By using tools from algebraic graph theory and switching systems theory, it is proved that distributed consensus in the closed-loop linear multiagent systems with switching balanced directed topologies can be achieved if, the feedback gain matrix of the protocol is appropriately designed and the coupling strength among neighboring agents is larger than a threshold value. The convergence rate for the achievement of consensus is further discussed. Interestingly, it is found that an arbitrarily given large convergence rate can be guaranteed if each agent is controllable. The proposed results are verified through numerical simulations.\",\"PeriodicalId\":6304,\"journal\":{\"name\":\"2013 9th Asian Control Conference (ASCC)\",\"volume\":\"9 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 9th Asian Control Conference (ASCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASCC.2013.6606204\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 9th Asian Control Conference (ASCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASCC.2013.6606204","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Consensus control of switching directed networks with general linear node dynamics
Distributed consensus control for multi-agent systems with general linear node dynamics and switching balanced directed topologies is addressed in this paper. By using tools from algebraic graph theory and switching systems theory, it is proved that distributed consensus in the closed-loop linear multiagent systems with switching balanced directed topologies can be achieved if, the feedback gain matrix of the protocol is appropriately designed and the coupling strength among neighboring agents is larger than a threshold value. The convergence rate for the achievement of consensus is further discussed. Interestingly, it is found that an arbitrarily given large convergence rate can be guaranteed if each agent is controllable. The proposed results are verified through numerical simulations.