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  • 标题:Closed-loop continuous-time model identification with noisy input-output
  • 本地全文:下载
  • 作者:Stéphane Victor ; Arnold Diudichi ; Pierre Melchior
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:12853-12858
  • DOI:10.1016/j.ifacol.2017.08.1936
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper, system identification is proposed for closed-loop systems in input/output noisy context. Although instrumental variable techniques exist in the literature, the proposed filtering in input/ouput noisy context is not optimal. Also, three algorithms are proposed, and the closed-loop simplified refined instrumental variable for continuous-time system gives optimal results: estimates are consistent and with minimum variance. The main contributions relies on the filtering of the instruments and signals considered.
  • 关键词:KeywordsSystem identificationclosed-loop systemnoisy input-ouput systemscontinuous-time modelserrors-in-variableslinear estimation
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