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An Integrated System Identification Toolbox for Linear and Nonlinear Models
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
IRISA, France.
NIRA Dynamics, Sweden.
INRIA, France.
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2007 (English)Report (Other academic)
Abstract [en]

The paper describes additions to the MATLAB system identification toolbox, that handle also the estimation of nonlinear models. Both structured grey-box models and general, flexible black-box models are covered. The idea is that the look and feel of the syntax, and the graphical user interface should be as close as possible to the linear case.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2007. , 9 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 2786
Keyword [en]
System identificaiton, Software
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-56052ISRN: LiTH-ISY-R-2786OAI: oai:DiVA.org:liu-56052DiVA: diva2:316886
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2014-09-02Bibliographically approved

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fulltext(315 kB)1216 downloads
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Type fulltextMimetype application/pdf

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Ljung, Lennart

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Automatic ControlThe Institute of Technology
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • 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