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  • 标题:Closed-loop identification for a continuous-time model of a multivariable dual-rate system with input fast sampling ⁎
  • 本地全文:下载
  • 作者:Mitsuhiro Nakayama ; Hiroshi Oku ; Shun Ushida
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:2
  • 页码:415-420
  • DOI:10.1016/j.ifacol.2018.03.071
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper, we consider closed-loop identification for an unstable multivariable dual-rate system with the sampling period of the output being an integral multiple of the hold period of the input. Using the well-known lifting technique, the relation of a stack of the succeeding input samples to the output, i.e., the lifted model, is estimated using CL-MOESP, which is a closed-loop subspace model identification method. Then, we will consider the conversion of the identified lifted model to a single-rate discrete-time model with the shorter sampling period and furthermore a continuous-time model in order to be used for continuous-time controller design. Finally, a numerical example illustrates the effectiveness of the proposed method.
  • 关键词:KeywordsSystem identificationsubspace methodclosed-loop systemmultirate systemlifted model
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