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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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2006 (English)In: Proceedings of the 14th IFAC Symposium on System Identification, 2006, 931-936 p.Conference paper, Published paper (Refereed)
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
2006. 931-936 p.
Keyword [en]
System identificaiton, Software
National Category
Engineering and Technology Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-35855DOI: 10.3182/20060329-3-AU-2901.00148Local ID: 28787ISBN: 978-3-902661-02-9 (print)OAI: oai:DiVA.org:liu-35855DiVA: diva2:256703
Conference
14th IFAC Symposium on System Identification, Newcastle, Australia, March, 2006
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2013-02-25

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Ljung, Lennart

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • modern-language-association-8th-edition
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Output format
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