{"title":"Robust output feedback control for time-delay fuzzy systems with persistent bounded disturbances","authors":"Tao Hongfeng, Hu Shousong","doi":"10.1109/ICLSIM.2010.5461361","DOIUrl":null,"url":null,"abstract":"The robust static output feedback control problem for a class of T-S fuzzy systems with time-varying state delay and disturbances both in the inputs and outputs is discussed. By defining a delay-dependent Lyapunov function, the robust control technique is extended to the time-delay systems, the synthetical design procedures of the static output feedback controllers are derived in terms of the linear matrix inequalities, and the robust performance is optimized by the iteration algorithms. This method can efficiently attenuate the peak of the persistent bounded disturbances, and will be more appealing in some practical applications.","PeriodicalId":249102,"journal":{"name":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","volume":"47 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICLSIM.2010.5461361","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The robust static output feedback control problem for a class of T-S fuzzy systems with time-varying state delay and disturbances both in the inputs and outputs is discussed. By defining a delay-dependent Lyapunov function, the robust control technique is extended to the time-delay systems, the synthetical design procedures of the static output feedback controllers are derived in terms of the linear matrix inequalities, and the robust performance is optimized by the iteration algorithms. This method can efficiently attenuate the peak of the persistent bounded disturbances, and will be more appealing in some practical applications.