{"title":"Fuzzy controller design via hyperstability approach","authors":"Liang Wang, R. Langari","doi":"10.1109/FUZZY.1994.343696","DOIUrl":null,"url":null,"abstract":"This paper presents a systematic procedure of designing fuzzy controllers for a class of nonlinear systems. The main scheme is to reduce the nonlinear model to a linear model by introducing a reference signal or model, and then design a controller to satisfy the desired control objective by means of Popov's hyperstability theory.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZY.1994.343696","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
This paper presents a systematic procedure of designing fuzzy controllers for a class of nonlinear systems. The main scheme is to reduce the nonlinear model to a linear model by introducing a reference signal or model, and then design a controller to satisfy the desired control objective by means of Popov's hyperstability theory.<>
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