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  • 标题:An Instrumental Variable Approach for the Identification of Time-Varying, Hammerstein Systems *
  • 本地全文:下载
  • 作者:Diego L. Guarin ; Robert E. Kearney
  • 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:196-201
  • DOI:10.1016/j.ifacol.2015.12.124
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper introduces an iterative algorithm for the identification of time-varying (TV)-Hammerstein systems. This system is composed by a TV static nonlinearity followed by a TV Box-Jenkins linear model. The algorithm uses two basis function expansions: one to represent the TV parameters and a second to approximate the output of the static nonlinearity. A simulation study showed that the algorithm accurately identified the shape of the TV static nonlinearity and linear dynamic elements even though the noise model structure was unknown.
  • 关键词:KeywordsNonlinear Systems IdentificationInstrumental VariableBasis FunctionsPrediction error methods
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