Improved Local Rational Method by incorporating system knowledge: with application to mechanical and thermal dynamical systems

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Abstract

A key step in experimental modeling of mechatronic systems is Frequency Response Function (FRF) identification. Applying these techniques to systems where measurement time is limited leads to a situation where the accuracy is deteriorated by transient dynamics. The aim of this paper is to develop a local parametric modeling technique that improves the identification accuracy of a range of systems by exploiting prior knowledge. The method is to impose a prior on the approximate locations of the system poles. This leads to better fit results and enables an accurate variance characterization. As a special case, traditional LPM is recovered.

Original languageEnglish
Pages (from-to)808-813
Number of pages6
JournalIFAC-PapersOnLine
Volume51
Issue number15
DOIs
Publication statusPublished - 1 Jan 2018
Event18th IFAC Symposium on System Identification (SYSID 2018) - Stockholm, Sweden
Duration: 9 Jul 201811 Jul 2018

Keywords

  • Frequency Response Function
  • Local Polynomial Method
  • Orthonormal Basis Functions
  • Transient Reduction

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