{"title":"Observer-based fuzzy controller design with local nonlinear feedback laws for discrete-time nonlinear systems","authors":"Jiuxiang Dong, Xuekui Song, Guanghong Yang","doi":"10.1109/CCDC.2012.6244677","DOIUrl":null,"url":null,"abstract":"This paper considers the observer-based fuzzy control problem for nonlinear discrete-time systems, which are represented by a type of fuzzy systems with local nonlinear models. By using the estimations of the states and nonlinear functions in local models, sufficient conditions for designing observer-based controllers are given for discrete-time nonlinear systems. A separation property, that is, the controller and the observer can be independently designed, is proved for the class of fuzzy systems. Lastly, a numerical example is given to illustrate the effectiveness of the proposed methods.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 24th Chinese Control and Decision Conference (CCDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2012.6244677","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper considers the observer-based fuzzy control problem for nonlinear discrete-time systems, which are represented by a type of fuzzy systems with local nonlinear models. By using the estimations of the states and nonlinear functions in local models, sufficient conditions for designing observer-based controllers are given for discrete-time nonlinear systems. A separation property, that is, the controller and the observer can be independently designed, is proved for the class of fuzzy systems. Lastly, a numerical example is given to illustrate the effectiveness of the proposed methods.