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System Identification, Model Simplification and the Design Objective
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1987 (English)Report (Other academic)
Abstract [en]

Models and model quality are prime concerns for most design issues in control and system analysis. The success of a simulation study hinges upon the reliability of the model used. In this contribution we discuss how to build mathematical models that given certain constraints, are of optimum quality for a prespecified application. We then taken into account the influence of both bias errors and random errors on the model. It turns out that for a fairly broad class of identification methods in the prediction error family, the optimal choices of design variables can be given in an explicit form.

Place, publisher, year, edition, pages
Linköping: Linköping University , 1987. , 6 p.
Series
LiTH-ISY-I, ISSN 8765-4321 ; 878
Keyword [en]
Model quality, System analysis, Simulation, System identification
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-104162OAI: oai:DiVA.org:liu-104162DiVA: diva2:694892
Available from: 2014-02-08 Created: 2014-02-08 Last updated: 2014-02-08

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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
  • vancouver
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  • Other style
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Language
  • de-DE
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  • en-US
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  • nn-NB
  • sv-SE
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Output format
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