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Noise Modeling, State Estimation and System Identification in Linear Differential-Algebraic Equations
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.
2004 (English)Report (Other academic)
Abstract [en]

This paper treats how parameter estimation and Kalman filtering can be performed using a Modelica model. The procedures for doing this have been developed earlier by the authors, and are here exemplified on a physical system. It is concluded that the parameter and state estimation problems can be solved using the Modelica model, and that the parameters estimation and observer construction to a large extent could be automated with relatively small changes to a Modelica environment.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2004. , 13 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 2639
Keyword [en]
DAE, Differential-algebraic equations, Modelica, System identification, Parameter estimation, Observer, Kalman filter
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-56003ISRN: LiTH-ISY-R-2639OAI: oai:DiVA.org:liu-56003DiVA: diva2:316729
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2014-07-28Bibliographically approved

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Gerdin, MarkusSchön, Thomas

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • 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
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Output format
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