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  • 标题:Revision of the Asymptotic Method and the Error Bound Validation
  • 本地全文:下载
  • 作者:Rodrigo Juliani C.G. ; Claudio Garcia
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2019
  • 卷号:52
  • 期号:1
  • 页码:196-201
  • DOI:10.1016/j.ifacol.2019.06.060
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper proposes changes to the Asymptotic identification method (ASYM): the use of high order models of different PEM structures with an optimal order, aiming to improve the numerical stability and the quality of the obtained models. Some changes are also proposed for the Error Bound Validation method, with the estimation of the model quality index as a function of the frequency, to allow a better evaluation of the identified models and to provide an easier diagnostic of problems in the identification procedure for a better design of reidentification experiments. Finally, an industrial benchmark is identified to illustrate the use of the proposed alterations.
  • 关键词:KeywordsSystem identificationmodel validationAsymptotic methoderror boundfrequency domain
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