{"title":"Robust L2-L∞ filtering for uncertain nonlinear delay systems with sensor saturation","authors":"Yanhui Li, Shu Zhang","doi":"10.1109/ICMC.2014.7231666","DOIUrl":null,"url":null,"abstract":"In this paper, a robust L2-L∞ filter design method is presented for a class of continuous-time uncertain nonlinear systems of which the output equations contain the time-varying delay and the saturation items while the state equations contain the time-varying delay items. The memoryless sector region method is utilized to deal with the saturation, and the nonlinearity is subjected to the Lipschitz condition. A delay-dependent Lyapunov-Krasovskii functional(LKF) approach is presented to guarantee that the filtering error system is asymptotically stable and satisfies the L2-L∞ performance constraint. An illustrative example is used to elucidate the efficacy of the proposed approach.","PeriodicalId":104511,"journal":{"name":"2014 International Conference on Mechatronics and Control (ICMC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Mechatronics and Control (ICMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMC.2014.7231666","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, a robust L2-L∞ filter design method is presented for a class of continuous-time uncertain nonlinear systems of which the output equations contain the time-varying delay and the saturation items while the state equations contain the time-varying delay items. The memoryless sector region method is utilized to deal with the saturation, and the nonlinearity is subjected to the Lipschitz condition. A delay-dependent Lyapunov-Krasovskii functional(LKF) approach is presented to guarantee that the filtering error system is asymptotically stable and satisfies the L2-L∞ performance constraint. An illustrative example is used to elucidate the efficacy of the proposed approach.