{"title":"一类离散非线性系统的自适应模糊控制","authors":"Hugang Han, C. Su, S. Murakami","doi":"10.1109/FUZZ.2001.1009099","DOIUrl":null,"url":null,"abstract":"An adaptive feedback control scheme for the tracking of a class of discrete-time nonlinear plants is presented. A fuzzy approximator is used to adaptively compensate for the plant nonlinearities. The fuzzy approximator's parameters including nonlinear ones, are adapted using a Lyapunov-based design. The method uses a special approximation error expression, parameter projection, and variable structure control with a sector to achieve uniform ultimate boundedness.","PeriodicalId":131640,"journal":{"name":"10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Adaptive fuzzy control for a class of discrete-time nonlinear systems\",\"authors\":\"Hugang Han, C. Su, S. Murakami\",\"doi\":\"10.1109/FUZZ.2001.1009099\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An adaptive feedback control scheme for the tracking of a class of discrete-time nonlinear plants is presented. A fuzzy approximator is used to adaptively compensate for the plant nonlinearities. The fuzzy approximator's parameters including nonlinear ones, are adapted using a Lyapunov-based design. The method uses a special approximation error expression, parameter projection, and variable structure control with a sector to achieve uniform ultimate boundedness.\",\"PeriodicalId\":131640,\"journal\":{\"name\":\"10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297)\",\"volume\":\"63 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-12-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FUZZ.2001.1009099\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZ.2001.1009099","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive fuzzy control for a class of discrete-time nonlinear systems
An adaptive feedback control scheme for the tracking of a class of discrete-time nonlinear plants is presented. A fuzzy approximator is used to adaptively compensate for the plant nonlinearities. The fuzzy approximator's parameters including nonlinear ones, are adapted using a Lyapunov-based design. The method uses a special approximation error expression, parameter projection, and variable structure control with a sector to achieve uniform ultimate boundedness.