{"title":"Robust energy-to-peak filtering for Markov systems with interval time-delay","authors":"Lei Wang, Ying Zhang, Rui Zhang","doi":"10.1109/ICINFA.2013.6720389","DOIUrl":null,"url":null,"abstract":"The energy-to-peak filtering problem of Markov jump systems with interval time-varying delay is investigated in this note. The proposed method in dealing with time-delay incorporates a mode-dependent Lyapunov functional and a precise upper estimation for a combination of positive-definite matrices with reciprocal coefficients. A novel sufficient condition for the solvability of the desired mode-dependent filter can be constructed by solving a set of standard LMIs, which guarantees stochastic stability and a prescribed l2-l∞ disturbance attenuation level of the resulting filtering error system. An illustrative example is provided to demonstrate the effectiveness of the proposed method.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Information and Automation (ICIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICINFA.2013.6720389","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The energy-to-peak filtering problem of Markov jump systems with interval time-varying delay is investigated in this note. The proposed method in dealing with time-delay incorporates a mode-dependent Lyapunov functional and a precise upper estimation for a combination of positive-definite matrices with reciprocal coefficients. A novel sufficient condition for the solvability of the desired mode-dependent filter can be constructed by solving a set of standard LMIs, which guarantees stochastic stability and a prescribed l2-l∞ disturbance attenuation level of the resulting filtering error system. An illustrative example is provided to demonstrate the effectiveness of the proposed method.