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Estimation Focus in System Identification: Prefiltering, Noise Models, and Prediction
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2000 (English)Report (Other academic)
Abstract [en]

We review some features related to the use of prefiltering data for identification. In addition to the well known interplay between noise models and prefilters we discuss how to find a compromise between the need for a noise model, at the same time as having control of the approximation properties of the model. The statistical paradigm tells us to use high order models so that the bias distribution aspect of the prefilter can be neglected. For real data this may however be infeasible. The discussion is illustrated with both simulated and real data.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2000. , 7 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 2182
Keyword [en]
FIltering, Identification, Statistical analysis
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-55754ISRN: LiTH-ISY-R-2182OAI: oai:DiVA.org:liu-55754DiVA: diva2:316579
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2014-09-05Bibliographically approved

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Ljung, Lennart

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CiteExportLink to record
Permanent link

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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