{"title":"反馈控制系统的辨识","authors":"M. Gevers","doi":"10.1109/CDC.1975.270747","DOIUrl":null,"url":null,"abstract":"Various recent identifiability results for feedback systems are discussed and compared. It is shown that the use of a white noise perturbation input leads to robust methods, in that they require a minimum amount of information about the structure of the system. Such a method, using a combined stochastic approximation and covariance factorization algorithm, is briefly presented.","PeriodicalId":164707,"journal":{"name":"1975 IEEE Conference on Decision and Control including the 14th Symposium on Adaptive Processes","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1975-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"On the identification of a feedback controlled system\",\"authors\":\"M. Gevers\",\"doi\":\"10.1109/CDC.1975.270747\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Various recent identifiability results for feedback systems are discussed and compared. It is shown that the use of a white noise perturbation input leads to robust methods, in that they require a minimum amount of information about the structure of the system. Such a method, using a combined stochastic approximation and covariance factorization algorithm, is briefly presented.\",\"PeriodicalId\":164707,\"journal\":{\"name\":\"1975 IEEE Conference on Decision and Control including the 14th Symposium on Adaptive Processes\",\"volume\":\"63 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1975-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1975 IEEE Conference on Decision and Control including the 14th Symposium on Adaptive Processes\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC.1975.270747\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1975 IEEE Conference on Decision and Control including the 14th Symposium on Adaptive Processes","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.1975.270747","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On the identification of a feedback controlled system
Various recent identifiability results for feedback systems are discussed and compared. It is shown that the use of a white noise perturbation input leads to robust methods, in that they require a minimum amount of information about the structure of the system. Such a method, using a combined stochastic approximation and covariance factorization algorithm, is briefly presented.
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