{"title":"Output feedback sampled-data stabilization of a class of uncertain nonlinear systems","authors":"Zhihui Wang, J. Zhai, S. Fei","doi":"10.1109/ICICIP.2014.7010339","DOIUrl":null,"url":null,"abstract":"This paper investigates the problem of using a sampled-data controller to globally stabilize a class of uncertain nonlinear systems whose output functions are not precisely known. To solve the problem, we first construct a new sampled-data observer and then use the output feedback domination approach to design a linear sampled-data controller. An explicit formula for the maximum allowable sampling period is computed to guarantee global stability of the uncertain nonlinear systems under the proposed controller with appropriate gains.","PeriodicalId":408041,"journal":{"name":"Fifth International Conference on Intelligent Control and Information Processing","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fifth International Conference on Intelligent Control and Information Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICIP.2014.7010339","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
This paper investigates the problem of using a sampled-data controller to globally stabilize a class of uncertain nonlinear systems whose output functions are not precisely known. To solve the problem, we first construct a new sampled-data observer and then use the output feedback domination approach to design a linear sampled-data controller. An explicit formula for the maximum allowable sampling period is computed to guarantee global stability of the uncertain nonlinear systems under the proposed controller with appropriate gains.