{"title":"基于超稳定方法的模糊控制器设计","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":"{\"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}","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}
Fuzzy controller design via hyperstability approach
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.<>