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

Research output: Contribution to journalConference articleAcademicpeer-review

2 Citations (Scopus)

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.

LanguageEnglish
Pages808-813
Number of pages6
JournalIFAC-PapersOnLine
Volume51
Issue number15
DOIs
StatePublished - 1 Jan 2018
Event18th IFAC Symposium on System Identification (SYSID 2018) - Stockholm, Sweden
Duration: 9 Jul 201811 Jul 2018

Fingerprint

Mechatronics
Time measurement
Frequency response
Poles
Dynamical systems
Hot Temperature

Keywords

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

Cite this

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title = "Improved Local Rational Method by incorporating system knowledge: with application to mechanical and thermal dynamical systems",
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.",
keywords = "Frequency Response Function, Local Polynomial Method, Orthonormal Basis Functions, Transient Reduction",
author = "Enzo Evers and {de Jager}, Bram and Tom Oomen",
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language = "English",
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Improved Local Rational Method by incorporating system knowledge : with application to mechanical and thermal dynamical systems. / Evers, Enzo; de Jager, Bram; Oomen, Tom.

In: IFAC-PapersOnLine, Vol. 51, No. 15, 01.01.2018, p. 808-813.

Research output: Contribution to journalConference articleAcademicpeer-review

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AB - 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.

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