{"title":"Output-feedback H/sub /spl infin// control of discrete-time switching fuzzy systems","authors":"Doo Jin Choi, S. S. Lee, P. Park","doi":"10.1109/FUZZ.2003.1209404","DOIUrl":null,"url":null,"abstract":"This paper suggests a new H/sub /spl infin// output-feedback controller for discrete-time switching fuzzy systems, which have high- and low-level weighting functions, namely, crisp switching-region weighting functions and local fuzzy weighting functions. Based on a new piecewise fuzzy weighting-dependent Lyapunov function (PFWLF) consisting of current-time states and a set of one-step-past local fuzzy weighting-dependent Lyapunov matrices, the new controller directly uses the current-time information on the high-level weighting functions as well as the current-time and the one-step-past information on the low-level weighting functions. This resulting controller is formulated in terms of parametric linear matrix inequalities (PLMIs), which are local fuzzy weighting-dependent conditions.","PeriodicalId":212172,"journal":{"name":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZ.2003.1209404","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 22
Abstract
This paper suggests a new H/sub /spl infin// output-feedback controller for discrete-time switching fuzzy systems, which have high- and low-level weighting functions, namely, crisp switching-region weighting functions and local fuzzy weighting functions. Based on a new piecewise fuzzy weighting-dependent Lyapunov function (PFWLF) consisting of current-time states and a set of one-step-past local fuzzy weighting-dependent Lyapunov matrices, the new controller directly uses the current-time information on the high-level weighting functions as well as the current-time and the one-step-past information on the low-level weighting functions. This resulting controller is formulated in terms of parametric linear matrix inequalities (PLMIs), which are local fuzzy weighting-dependent conditions.