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  • 标题:A Non-Parametric Linear Parameter Varying Approach for Identification of Linear Time-Varying Systems *
  • 本地全文:下载
  • 作者:Ehsan Sobhani Tehrani ; 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:733-738
  • DOI:10.1016/j.ifacol.2015.12.217
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper presents a novel, non-parametric, linear parameter varying (LPV) algorithm for identification of linear time-varying systems. The method estimates the timevarying impulse response function as a LPV Laguerre basis expansion whose coefficients are functions of a scheduling variable (SV). Unlike many parametric LPV identification techniques, the method requires no a priori knowledge of the system order. Monte Carlo simulations of a time-varying, second-order system mimicking variations of reex stiffness dynamics with ankle position demonstrated that the method performs very well. It will be a valuable tool for identification of physiological and engineering systems in conditions where the system order is unknown and its parameters change with a SV.
  • 关键词:KeywordsTime-Varying Linear SystemsNon-Parametric IdentificationLinear Parameter Varying SystemsBiomedical SystemsJoint Stiffness
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