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On Model Simplification in System Identification
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1985 (English)Licentiate thesis, monograph (Other academic)
Abstract [en]

This report deals with the connection between system identification and model reduction. We propose an identification algorithm that is based on the least squares identification method and either of the model reduction techniques: Frequency weighted truncated balanced realization or frequency weighted optimal Hankel-norm model reduction. The advantage of this algorithm's that it has a closed form solution. An overview over these the model reduction methods is given. A more general discussion of the connections between norms in system identification and in model reduction is also given.

Place, publisher, year, edition, pages
Linköping: Linköping University , 1985. , 193 p.
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 47
Keyword [en]
Model simplification, System identification
National Category
Control Engineering
URN: urn:nbn:se:liu:diva-100664ISBN: 91-7372-934-5OAI: diva2:663276
Available from: 2013-11-11 Created: 2013-11-11 Last updated: 2013-11-11Bibliographically approved

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