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Combining the best linear approximation and dimension reduction to identify thelinear blocks of parallel Wiener systems
Vrije Universiteit Brussel ,Faculty of Engineering, Department of Fundamental Electricity and Instrumentation.
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)Report (Other academic)
Abstract [en]

A Wiener model is a fairly simple, well known, and often used nonlinearblock-oriented black-box model. A possible generalization of the class ofWiener models lies in the parallel Wiener model class. This paper presents amethod to estimate the linear time-invariant blocks of such parallel Wienermodels from input/output data only. The proposed estimation methodcombines the knowledge obtained by estimating the best linear approxima-tion of a nonlinear system with a dimension reduction method to estimatethe linear time-invariant blocks present in the model. The estimation of thestatic nonlinearity is fairly easy once the linear blocks are known.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2012. , 15 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 3050
Keyword [en]
System identification, Wiener systems, Best linear approximation, Dimension reduction
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-84517ISRN: LiTH-ISY-R-3050OAI: oai:DiVA.org:liu-84517DiVA: diva2:559973
Available from: 2012-10-11 Created: 2012-10-11 Last updated: 2014-09-19Bibliographically approved

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Combining the best linear approximation and dimension reduction to identify thelinear blocks of parallel Wiener systems(797 kB)2419 downloads
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Authority records BETA

Lyzell, ChristianEnqvist, Martin

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • 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