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Combining the best linear approximation and dimension reduction to identify the linear blocks of parallel Wiener systems
Vrije Universiteit Brussel, Belgium.
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.
2013 (English)In: Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, 2013, 372-377 p.Conference paper, Published paper (Refereed)
Abstract [en]

A Wiener model is a fairly simple, well known, and often used nonlinear block- oriented black-box model. A possible generalization of the class of Wiener models lies in the parallel Wiener model class. This paper presents a method to estimate the linear time-invariant blocks of such parallel Wiener models from input/output data only. The proposed estimation method combines the knowledge obtained by estimating the best linear approximation of a nonlinear system with the MAVE dimension reduction method to estimate the linear time- invariant blocks present in the model. The estimation of the static nonlinearity boils down to a standard static nonlinearity estimation problem starting from input-output data once the linear blocks are known. 

Place, publisher, year, edition, pages
2013. 372-377 p.
Series
IFAC-PapersOnLine, ISSN 2405-8963 ; 46(11)
Keyword [en]
Nonlinear system identification, Nonlinear systems
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-104001DOI: 10.3182/20130703-3-FR-4038.00026OAI: oai:DiVA.org:liu-104001DiVA: diva2:694125
Conference
11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, Caen, France, July 3-5, 2013
Available from: 2014-02-05 Created: 2014-02-05 Last updated: 2016-06-22

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Lyzell, ChristianEnqvist, Martin

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CiteExportLink to record
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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