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On the Detection of Nonlinearities in Sampled Data
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2012 (English)In: Proceedings of the 16th IFAC Symposium on System Identification, 2012, 1587-1592 p.Conference paper, Published paper (Refereed)
Abstract [en]

Here we deal with the choice of the sampling rate in nonlinear system identification applications. In particular, we focus on the effect of the sampling rate when the prediction-error method is used. On one hand, a high sampling rate is advantageous since it enables the measurement of high-frequent nonlinear components in the output signal of the system without aliasing. However, a high sampling rate might also make it harder to realize that the system is nonlinear, since the nonlinearities cannot be detected in the residuals from a linear model in some cases. Here, this phenomenon is illustrated in a couple of numerical examples and a way to avoid it is proposed.

Place, publisher, year, edition, pages
2012. 1587-1592 p.
Series
IFAC-PapersOnLine, ISSN 2405-8963 ; 45(16)
Keyword [en]
Nonlinear system identification, Identification for control
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-93278DOI: 10.3182/20120711-3-BE-2027.00307ISBN: 978-3-902823-06-9 (print)OAI: oai:DiVA.org:liu-93278DiVA: diva2:623899
Conference
16th IFAC Symposium on System Identification, Brussels, Belgium, 11-13 July, 2012
Available from: 2013-05-29 Created: 2013-05-29 Last updated: 2016-06-22

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Enqvist, Martin

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf