{"title":"H/sub 2/ state feedback control for fuzzy singularly perturbed systems","authors":"Huaping Liu, F. Sun, K. He, Zeng-qi Sun","doi":"10.1109/CDC.2003.1272469","DOIUrl":null,"url":null,"abstract":"This study introduces an H/sub 2/ fuzzy state feedback control design method for nonlinear singularly perturbed systems. First, the Takagi-Sugeno fuzzy model is employed to approximate a nonlinear singularly perturbed system. Next, based on the fuzzy singularly perturbed model, a fuzzy PDC /spl epsiv/-independent controller is developed to achieve the H/sub 2/ performance for small enough /spl epsiv/. By the proposed two-stage procedure, the control problem is parameterized in terms of two sub problem, one can be reduced to a set of LMIs, the other can be recast into a set of BMIs, furthermore, the BMIs will be solved by the proposed iterative LMI(ILMI).","PeriodicalId":371853,"journal":{"name":"42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.2003.1272469","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This study introduces an H/sub 2/ fuzzy state feedback control design method for nonlinear singularly perturbed systems. First, the Takagi-Sugeno fuzzy model is employed to approximate a nonlinear singularly perturbed system. Next, based on the fuzzy singularly perturbed model, a fuzzy PDC /spl epsiv/-independent controller is developed to achieve the H/sub 2/ performance for small enough /spl epsiv/. By the proposed two-stage procedure, the control problem is parameterized in terms of two sub problem, one can be reduced to a set of LMIs, the other can be recast into a set of BMIs, furthermore, the BMIs will be solved by the proposed iterative LMI(ILMI).