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Identification of Wiener Models
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1998 (English)Report (Other academic)
Abstract [en]

The identification task consists of making a model of a system from measured input and output signals. Wiener models consist of a linear dynamic system, followed by a static nonlinearity. We derive an algorithm to calculate the maximum likelihood estimate of the model for this class of systems. We describe an implementation in some detail and show simulation results where a test system is successfully identified from data.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 1998. , 10 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 2031
Keyword [en]
Identication Wiener models, Nonlinear systems, Maximum likelihood estimation
Keyword [sv]
Cybernetik Informationsteori, Matematik Variationskalkyl Optimering
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-55646ISRN: LITH-ISY-R-2031OAI: oai:DiVA.org:liu-55646DiVA: diva2:316429
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2014-09-18Bibliographically approved

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Hagenblad, Anna

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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