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System Identification
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1998 (English)In: Signal Analysis and Prediction / [ed] A. Prochazka and J Uhlir and P.J.W. Rayner and N.G. Kingsbury, Springer , 1998, 163-174 p.Chapter in book (Other academic)
Abstract [en]

In this contribution we give an overview and discusison of the basic steps of System Identification. The four main ingredients of the process that tkes us from observed data to a validated model are: (1) The data itself, (2) The set of candidate models, (3) The criterion of fit and (4) The validation procedure. We discuss how these ingredients can be blended to a useful mix for model-building in practice.

Place, publisher, year, edition, pages
Springer , 1998. 163-174 p.
Keyword [en]
System identification, Model-building, Validation procedure
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-56331ISBN: 0-8176-4042-8 (print)ISBN: 978-0817640422 OAI: oai:DiVA.org:liu-56331DiVA: diva2:318434
Funder
Swedish Research Council
Available from: 2010-05-07 Created: 2010-05-07 Last updated: 2014-03-24

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Ljung, Lennart

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