{"title":"Super-exponential tracking for nonlinear systems with non-vanishing uncertainties","authors":"Yujuan Wang, Xiang Chen, Yongduan Song, Mi Fang","doi":"10.1109/ISASS.2019.8757737","DOIUrl":null,"url":null,"abstract":"In this paper we introduce a general and systematic approach to achieving robust tracking control for nonlinear systems with non-vanishing uncertainties, along with the complete rejection of non-vanishing uncertainties and user-assignable convergence rate. Furthermore, the convergence rate can be pre-specified faster than exponential or nearly as fast as any prescribed finite time if needed. The key design tool is the utilization of a time-varying feedback gain through a time-varying scaling function that satisfies certain conditions. A general way to construct such time-varying rate function is given such that the different yet assignable convergence rates can be achieved.","PeriodicalId":359959,"journal":{"name":"2019 3rd International Symposium on Autonomous Systems (ISAS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 3rd International Symposium on Autonomous Systems (ISAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISASS.2019.8757737","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
In this paper we introduce a general and systematic approach to achieving robust tracking control for nonlinear systems with non-vanishing uncertainties, along with the complete rejection of non-vanishing uncertainties and user-assignable convergence rate. Furthermore, the convergence rate can be pre-specified faster than exponential or nearly as fast as any prescribed finite time if needed. The key design tool is the utilization of a time-varying feedback gain through a time-varying scaling function that satisfies certain conditions. A general way to construct such time-varying rate function is given such that the different yet assignable convergence rates can be achieved.