{"title":"Robust H∞ filtering for uncertain discrete-time switched singular systems","authors":"Huaping Zhang, Hongda Fan, Shuping Ma","doi":"10.1109/ICICISYS.2009.5358388","DOIUrl":null,"url":null,"abstract":"The robust H∞ filtering problem for discrete-time switched singular systems with parameter uncertainties is discussed. Based on the restricted system equivalent (r.s.e.) transformation and by introducing new state vectors, the filtering error system is transformed into a switched standard linear system, then a switched filter is designed in terms of linear matrix inequality, which guarantees that the filtering error system is regular, causal, stable and satisfies H∞ performance for all admissible uncertainties. The H∞ filter can be full or reduced order. A numerical example is given to illustrate the effectiveness of the proposed method.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICISYS.2009.5358388","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 H∞ filtering problem for discrete-time switched singular systems with parameter uncertainties is discussed. Based on the restricted system equivalent (r.s.e.) transformation and by introducing new state vectors, the filtering error system is transformed into a switched standard linear system, then a switched filter is designed in terms of linear matrix inequality, which guarantees that the filtering error system is regular, causal, stable and satisfies H∞ performance for all admissible uncertainties. The H∞ filter can be full or reduced order. A numerical example is given to illustrate the effectiveness of the proposed method.