{"title":"基于因子分解方法的稳健观测器设计","authors":"X. Ding, P. Frank, L. Guo","doi":"10.1109/CDC.1990.203508","DOIUrl":null,"url":null,"abstract":"Problems of designing robust observers in the frequency domain are formulated and solved. Using the factorization approach, a characterization of all observers is derived. This enables the description of all achievable transfer functions of estimate errors in terms of a RH/sub infinity /-parameter matrix. It is shown that the problem of designing optimally robust observers can therefore be transformed into the well-known model matching problem that can be solved with H/sub infinity /-optimization techniques. It is shown that the proposed methods can be used to solve the problem of finding exact unknown input observers.<<ETX>>","PeriodicalId":287089,"journal":{"name":"29th IEEE Conference on Decision and Control","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":"{\"title\":\"Robust observer design via factorization approach\",\"authors\":\"X. Ding, P. Frank, L. Guo\",\"doi\":\"10.1109/CDC.1990.203508\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Problems of designing robust observers in the frequency domain are formulated and solved. Using the factorization approach, a characterization of all observers is derived. This enables the description of all achievable transfer functions of estimate errors in terms of a RH/sub infinity /-parameter matrix. It is shown that the problem of designing optimally robust observers can therefore be transformed into the well-known model matching problem that can be solved with H/sub infinity /-optimization techniques. It is shown that the proposed methods can be used to solve the problem of finding exact unknown input observers.<<ETX>>\",\"PeriodicalId\":287089,\"journal\":{\"name\":\"29th IEEE Conference on Decision and Control\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-12-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"25\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"29th IEEE Conference on Decision and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC.1990.203508\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"29th IEEE Conference on Decision and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.1990.203508","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Problems of designing robust observers in the frequency domain are formulated and solved. Using the factorization approach, a characterization of all observers is derived. This enables the description of all achievable transfer functions of estimate errors in terms of a RH/sub infinity /-parameter matrix. It is shown that the problem of designing optimally robust observers can therefore be transformed into the well-known model matching problem that can be solved with H/sub infinity /-optimization techniques. It is shown that the proposed methods can be used to solve the problem of finding exact unknown input observers.<>