{"title":"采样测量下非线性系统的模糊H∞输出反馈控制","authors":"S. Nguang, P. Shi","doi":"10.1109/.2001.980889","DOIUrl":null,"url":null,"abstract":"This paper studies the problem of designing an H∞ fuzzy feedback control for a class of nonlinear systems. A nonlinear systems is first described by a continuous-time fuzzy system model under sampled output measurements. The premise variables of the fuzzy system model are allowed to be unavailable. We develop a technique for designing an H∞ fuzzy feedback control which globally stabilises this class of fuzzy system models. A design algorithm for constructing the H∞ fuzzy feedback controller is given. A numerical simulation example is given to show the potential of the proposed techniques.","PeriodicalId":411031,"journal":{"name":"IEEE Conference on Decision and Control","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"63","resultStr":"{\"title\":\"Fuzzy H∞ output feedback control of nonlinear systems under sampled measurements\",\"authors\":\"S. Nguang, P. Shi\",\"doi\":\"10.1109/.2001.980889\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper studies the problem of designing an H∞ fuzzy feedback control for a class of nonlinear systems. A nonlinear systems is first described by a continuous-time fuzzy system model under sampled output measurements. The premise variables of the fuzzy system model are allowed to be unavailable. We develop a technique for designing an H∞ fuzzy feedback control which globally stabilises this class of fuzzy system models. A design algorithm for constructing the H∞ fuzzy feedback controller is given. A numerical simulation example is given to show the potential of the proposed techniques.\",\"PeriodicalId\":411031,\"journal\":{\"name\":\"IEEE Conference on Decision and Control\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"63\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Conference on Decision and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/.2001.980889\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Conference on Decision and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/.2001.980889","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy H∞ output feedback control of nonlinear systems under sampled measurements
This paper studies the problem of designing an H∞ fuzzy feedback control for a class of nonlinear systems. A nonlinear systems is first described by a continuous-time fuzzy system model under sampled output measurements. The premise variables of the fuzzy system model are allowed to be unavailable. We develop a technique for designing an H∞ fuzzy feedback control which globally stabilises this class of fuzzy system models. A design algorithm for constructing the H∞ fuzzy feedback controller is given. A numerical simulation example is given to show the potential of the proposed techniques.
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