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Regressor Selection with the Analysis of Variance Method
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2002 (English)Report (Other academic)
Abstract [en]

Identification of non-linear finite impulse response (N-FIR) models is studied. In particular the selection of model structure, i.e., to find the best regressors, is examined.

In this report it is shown that a statistical method, the analysis of variance, is a better alternative than exhaustive search among all possible regressors, in the identification of the structure of non-linear FIR-models. The method is evaluated for different conditions on the input signal to the system. The results will serve as a foundation for the extension of the ideas to non-linear autoregressive processes.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2002. , 8 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 2411
Keyword [en]
Time delay estimation, Time lag, Identification, Non-linear models, Analysis of variance
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-55859ISRN: LiTH-ISY-R-2411OAI: oai:DiVA.org:liu-55859DiVA: diva2:316678
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2014-09-04Bibliographically approved

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Lind, Ingela

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Automatic ControlThe Institute of Technology
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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