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  • 标题:Grey-box nonlinear state-space modelling for mechanical vibrations identification
  • 本地全文:下载
  • 作者:J.P. Nöel ; J. Schoukens ; G. Kerschen
  • 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:817-822
  • DOI:10.1016/j.ifacol.2015.12.230
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn the present paper, a flexible and parsimonious model of the vibrations of nonlinear mechanical systems is introduced in the form of state-space equations. It is shown that the nonlinear model terms can be formed using a limited number of output measurements. A twostep identification procedure is derived for this grey-box model, integrating nonlinear subspace initialisation and maximum likelihood optimisation. The complete procedure is demonstrated on the Silverbox benchmark, which is an electrical mimicry of a single-degree-of-freedom mechanical system with one displacement-dependent nonlinearity.
  • 关键词:KeywordsNonlinear system identificationmechanical systemsstate-space modellingnonlinear subspace initialisationmaximum likelihood optimisationSilverbox benchmark
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