{"title":"基于LMI脉冲控制的复杂网络镇定","authors":"Lanping Chen, Zhenghua Ma, Suolin Duan","doi":"10.1109/IWACI.2010.5585112","DOIUrl":null,"url":null,"abstract":"This paper proposes an impulsive control based on linear matrix inequalities (LMI) techniques to stabilize a class of complex dynamical networks system with parameter uncertainties. The model of impulsive controlled complex network with different dynamical nodes is presented, and various robust stability conditions in the form of Linear matrix inequality(LMI) are derived for this model. Simulation results verify the validity of the proposed methodology.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"131 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Stabilization of complex network with LMI impulsive control\",\"authors\":\"Lanping Chen, Zhenghua Ma, Suolin Duan\",\"doi\":\"10.1109/IWACI.2010.5585112\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes an impulsive control based on linear matrix inequalities (LMI) techniques to stabilize a class of complex dynamical networks system with parameter uncertainties. The model of impulsive controlled complex network with different dynamical nodes is presented, and various robust stability conditions in the form of Linear matrix inequality(LMI) are derived for this model. Simulation results verify the validity of the proposed methodology.\",\"PeriodicalId\":189187,\"journal\":{\"name\":\"Third International Workshop on Advanced Computational Intelligence\",\"volume\":\"131 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Third International Workshop on Advanced Computational Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWACI.2010.5585112\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Third International Workshop on Advanced Computational Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWACI.2010.5585112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Stabilization of complex network with LMI impulsive control
This paper proposes an impulsive control based on linear matrix inequalities (LMI) techniques to stabilize a class of complex dynamical networks system with parameter uncertainties. The model of impulsive controlled complex network with different dynamical nodes is presented, and various robust stability conditions in the form of Linear matrix inequality(LMI) are derived for this model. Simulation results verify the validity of the proposed methodology.
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