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  • 标题:An Empirical Method for Approximate H 2 Optimal Model Order Reduction
  • 本地全文:下载
  • 作者:Kasturi Das ; Bhojne Sachhitanand Rangnath ; Srinivasan Krishnaswamy
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:1
  • 页码:838-842
  • DOI:10.1016/j.ifacol.2022.04.137
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper, we discuss an empirical method of finding a reduced order H2optimal model for a single input single output (SISO) linear time-invariant (LTI) system. We see the impulse distribution as a limit point of a sequence of Gaussian signals. We find a sequence of reduced order models that approximate the system’s response to a sequence of Gaussian signals with decreasing standard deviation. We show that the limit point of this sequence of models is the reduced order H2optimal model.
  • 关键词:Keywordslinear systemimpulse distributionGaussian signalH2optimallimit point
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