{"title":"未知输入,线性变参数系统的鲁棒状态观测","authors":"G. Conte, A. Perdon, A. Bonci","doi":"10.23919/ECC.2007.7068990","DOIUrl":null,"url":null,"abstract":"The problem of estimating the largest possible component of the state of a parameter dependent linear system in presence of unknown inputs is considered. Using a geometric approach and suitable defined invariant subspaces, that capture the concept of robustness with respect to parameter variation, a procedure for detecting the largest component of the state that may possibly be estimated together with a construction of the observer system and a technique for analyzing its asymptotic behavior is provided.","PeriodicalId":407048,"journal":{"name":"2007 European Control Conference (ECC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Unknown inputs, robust state observation for linear parameter varying systems\",\"authors\":\"G. Conte, A. Perdon, A. Bonci\",\"doi\":\"10.23919/ECC.2007.7068990\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of estimating the largest possible component of the state of a parameter dependent linear system in presence of unknown inputs is considered. Using a geometric approach and suitable defined invariant subspaces, that capture the concept of robustness with respect to parameter variation, a procedure for detecting the largest component of the state that may possibly be estimated together with a construction of the observer system and a technique for analyzing its asymptotic behavior is provided.\",\"PeriodicalId\":407048,\"journal\":{\"name\":\"2007 European Control Conference (ECC)\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 European Control Conference (ECC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ECC.2007.7068990\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 European Control Conference (ECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ECC.2007.7068990","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Unknown inputs, robust state observation for linear parameter varying systems
The problem of estimating the largest possible component of the state of a parameter dependent linear system in presence of unknown inputs is considered. Using a geometric approach and suitable defined invariant subspaces, that capture the concept of robustness with respect to parameter variation, a procedure for detecting the largest component of the state that may possibly be estimated together with a construction of the observer system and a technique for analyzing its asymptotic behavior is provided.