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  • 标题:Reducing Identification Error Using Over-Sampling Technique
  • 本地全文:下载
  • 作者:Mengyuan Fang ; Yucai Zhu
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2015
  • 卷号:48
  • 期号:28
  • 页码:1142-1147
  • DOI:10.1016/j.ifacol.2015.12.285
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper, a method of identification is introduced which is based on the so-called output over-sampling scheme. When analyzing the frequency domain properties of the over-sampling scheme, it is found that the error of the frequency response is pushed away from the frequency band of the plant. The method first identifies a high frequency model using low-pass filtering and then convert the model to the original sampling frequency. Simulations show that the model parameter variance can be made much smaller than the Cramer-Rao bound of the model identified from the data of the original sampling frequency.
  • 关键词:KeywordsFrequency domaintransfer functionsCramer-Rao bound
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