{"title":"模糊时滞系统的鲁棒H∞滤波","authors":"J. Yoneyama","doi":"10.1109/FUZZY.2007.4295587","DOIUrl":null,"url":null,"abstract":"This paper is concerned with robust H∞ filtering for uncertain fuzzy time-delay systems. Robust filtering conditions and a design method of robust H∞ filter are given. A system that is considered in this paper is an uncertain fuzzy system with time-delays in state and output. The time-delay is assumed to be either known constant or unknown time varying. The parameter uncertainties that come into the system are time varying and describe identification error between a real system and its mathematical model. Our approach employs a Lyapunov functional combined with the parameterized model transformation method and the generalized free weighting matrix method. This generalization leads to a generalized robust H∞ filtering condition that is given in terms of linear matrix inequalities. Moreover, based on such a condition, robust H∞ filtering methods for uncertain fuzzy systems with time-delays are given. A numerical example is given to illustrate our robust H∞ filtering methods.","PeriodicalId":236515,"journal":{"name":"2007 IEEE International Fuzzy Systems Conference","volume":"40 6","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Robust H∞ Filtering for Fuzzy Time-Delay Systems\",\"authors\":\"J. Yoneyama\",\"doi\":\"10.1109/FUZZY.2007.4295587\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper is concerned with robust H∞ filtering for uncertain fuzzy time-delay systems. Robust filtering conditions and a design method of robust H∞ filter are given. A system that is considered in this paper is an uncertain fuzzy system with time-delays in state and output. The time-delay is assumed to be either known constant or unknown time varying. The parameter uncertainties that come into the system are time varying and describe identification error between a real system and its mathematical model. Our approach employs a Lyapunov functional combined with the parameterized model transformation method and the generalized free weighting matrix method. This generalization leads to a generalized robust H∞ filtering condition that is given in terms of linear matrix inequalities. Moreover, based on such a condition, robust H∞ filtering methods for uncertain fuzzy systems with time-delays are given. A numerical example is given to illustrate our robust H∞ filtering methods.\",\"PeriodicalId\":236515,\"journal\":{\"name\":\"2007 IEEE International Fuzzy Systems Conference\",\"volume\":\"40 6\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE International Fuzzy Systems Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FUZZY.2007.4295587\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE International Fuzzy Systems Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZY.2007.4295587","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper is concerned with robust H∞ filtering for uncertain fuzzy time-delay systems. Robust filtering conditions and a design method of robust H∞ filter are given. A system that is considered in this paper is an uncertain fuzzy system with time-delays in state and output. The time-delay is assumed to be either known constant or unknown time varying. The parameter uncertainties that come into the system are time varying and describe identification error between a real system and its mathematical model. Our approach employs a Lyapunov functional combined with the parameterized model transformation method and the generalized free weighting matrix method. This generalization leads to a generalized robust H∞ filtering condition that is given in terms of linear matrix inequalities. Moreover, based on such a condition, robust H∞ filtering methods for uncertain fuzzy systems with time-delays are given. A numerical example is given to illustrate our robust H∞ filtering methods.