{"title":"结构多变量估计","authors":"H. N. Duong, I. Landau","doi":"10.1109/CDC.1991.261416","DOIUrl":null,"url":null,"abstract":"The authors present a method of structural multivariable estimation. The principle of the method is projecting the measured vectors onto the range of an instrument matrix and testing the range of the projection. The proposed method uses the extended instrumental variable technique and the orthogonal transformation. Simulation results for comparison between several methods are presented.<<ETX>>","PeriodicalId":344553,"journal":{"name":"[1991] Proceedings of the 30th IEEE Conference on Decision and Control","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Structural multivariable estimation\",\"authors\":\"H. N. Duong, I. Landau\",\"doi\":\"10.1109/CDC.1991.261416\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors present a method of structural multivariable estimation. The principle of the method is projecting the measured vectors onto the range of an instrument matrix and testing the range of the projection. The proposed method uses the extended instrumental variable technique and the orthogonal transformation. Simulation results for comparison between several methods are presented.<<ETX>>\",\"PeriodicalId\":344553,\"journal\":{\"name\":\"[1991] Proceedings of the 30th IEEE Conference on Decision and Control\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1991] Proceedings of the 30th IEEE Conference on Decision and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC.1991.261416\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1991] Proceedings of the 30th IEEE Conference on Decision and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.1991.261416","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The authors present a method of structural multivariable estimation. The principle of the method is projecting the measured vectors onto the range of an instrument matrix and testing the range of the projection. The proposed method uses the extended instrumental variable technique and the orthogonal transformation. Simulation results for comparison between several methods are presented.<>
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