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  • 标题:Recovering Wiener-Hammerstein nonlinear state-space models using linear algebra *
  • 本地全文:下载
  • 作者:Philippe Dreesen ; Mariya Ishteva ; Johan Schoukens
  • 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:951-956
  • DOI:10.1016/j.ifacol.2015.12.253
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper considers Wiener-Hammerstein systems consisting of a cascade of a linear dynamical system, a static nonlinearity and another linear dynamical system. We start from a black-box nonlinear state-space description of the system and develop a method to reconstruct the parameters of the underlying Wiener-Hammerstein block structure by means of linear algebra operations. First, the static nonlinearity is retrieved by decoupling the nonlinear part of the state-space equations into a single-branch nonlinear function. From there on, a canonical Wiener-Hammerstein nonlinear state-space model is recovered by using linear algebraic and geometric tools. The method is validated on a simulation example.
  • 关键词:Keywordsblock-oriented system identificationnonlinear system identificationstate-space modelsWiener-Hammerstein systems
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