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Inconsistency of an Approximate Prediction Error Method for Wiener Model Identification
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2000 (English)Report (Other academic)
Abstract [en]

A Wiener model consists of a linear dynamic block followed by with a nonlinear static block. When identifying the parameters of such a system, the Prediction Error Method (PEM) can be used. Depending on how noise enters the system, the predictor can be difficult to express, and an approximate predictor may be interesting. The estimate obtained from using this approximate predictor is however not always consistent. In this report we investigate this inconsistency.

Place, publisher, year, edition, pages
Linköping, 2000. , 7 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 2275
Keyword [en]
System identification, Wiener models, Nonlinear model, Inconsistent estimate, Bias, Prediction error method
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-55750ISRN: LiTH-ISY-R-2275OAI: oai:DiVA.org:liu-55750DiVA: diva2:316588
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2014-08-15Bibliographically approved

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Hagenblad, Anna

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CiteExportLink to record
Permanent link

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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
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf