{"title":"基于lmis的模糊时滞控制系统稳定性新条件","authors":"Zejian Zhang, Xianlin Huang, Xiaojun Ban","doi":"10.1109/CSO.2011.179","DOIUrl":null,"url":null,"abstract":"In this paper, the stability issue of the T-S fuzzy time-delay control system is investigated, in which the T-S fuzzy time-delay model and the fuzzy controller do not share the same membership functions. New stability conditions in the form of LMIs are proposed by using the Lyapunov function approach. And a numerical example is presented to illustrate the less conservativeness of the new stability conditions.","PeriodicalId":210815,"journal":{"name":"2011 Fourth International Joint Conference on Computational Sciences and Optimization","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"New LMIs-Based Stability Conditions for Fuzzy Time-Delay Control Systems\",\"authors\":\"Zejian Zhang, Xianlin Huang, Xiaojun Ban\",\"doi\":\"10.1109/CSO.2011.179\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the stability issue of the T-S fuzzy time-delay control system is investigated, in which the T-S fuzzy time-delay model and the fuzzy controller do not share the same membership functions. New stability conditions in the form of LMIs are proposed by using the Lyapunov function approach. And a numerical example is presented to illustrate the less conservativeness of the new stability conditions.\",\"PeriodicalId\":210815,\"journal\":{\"name\":\"2011 Fourth International Joint Conference on Computational Sciences and Optimization\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Fourth International Joint Conference on Computational Sciences and Optimization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSO.2011.179\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Fourth International Joint Conference on Computational Sciences and Optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSO.2011.179","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
New LMIs-Based Stability Conditions for Fuzzy Time-Delay Control Systems
In this paper, the stability issue of the T-S fuzzy time-delay control system is investigated, in which the T-S fuzzy time-delay model and the fuzzy controller do not share the same membership functions. New stability conditions in the form of LMIs are proposed by using the Lyapunov function approach. And a numerical example is presented to illustrate the less conservativeness of the new stability conditions.