{"title":"非线性系统的模糊滑模控制","authors":"Chen-Sheng Ting, T.-H.S. Li, Fan-Chu Kung","doi":"10.1109/FUZZY.1994.343938","DOIUrl":null,"url":null,"abstract":"The unmodeled dynamics of a nonlinear control system is studied by using a fuzzy control approach. Based on variable structure system (VSS) theory, this paper presents two fuzzy control schemes. As the upper bound of system uncertainty is known, it can be used as a clue to form fuzzy control logic. The full inference provides an estimation for the unknown upper bound. Examples are given to illustrate the application of the proposed methods.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Fuzzy sliding mode control of nonlinear system\",\"authors\":\"Chen-Sheng Ting, T.-H.S. Li, Fan-Chu Kung\",\"doi\":\"10.1109/FUZZY.1994.343938\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The unmodeled dynamics of a nonlinear control system is studied by using a fuzzy control approach. Based on variable structure system (VSS) theory, this paper presents two fuzzy control schemes. As the upper bound of system uncertainty is known, it can be used as a clue to form fuzzy control logic. The full inference provides an estimation for the unknown upper bound. Examples are given to illustrate the application of the proposed methods.<<ETX>>\",\"PeriodicalId\":153967,\"journal\":{\"name\":\"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"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.1994.343938\",\"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.1994.343938","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The unmodeled dynamics of a nonlinear control system is studied by using a fuzzy control approach. Based on variable structure system (VSS) theory, this paper presents two fuzzy control schemes. As the upper bound of system uncertainty is known, it can be used as a clue to form fuzzy control logic. The full inference provides an estimation for the unknown upper bound. Examples are given to illustrate the application of the proposed methods.<>
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