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Discussion on ''On the Use of Minimal Parametrizations in Multivariable ARMAX Identification'' by R.P. Guidorzi
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1999 (English)Report (Other academic)
Abstract [en]

When performing practical identication the structural issue often cannot be neglected since the conditioning of the parameterization influence the convergence of the optimization. Solutions are to carefully monitor the conditioning of the associated LS problem or to use alternative parametrizations (minimal or non-minimal) which give better conditioning.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 1999. , 7 p.
LiTH-ISY-R, ISSN 1400-3902 ; 2132
Keyword [en]
Parametrization, Optimization, Estimation, Multivariable, Numerical stability
National Category
Control Engineering
URN: urn:nbn:se:liu:diva-55715ISRN: LiTH-ISY-R-2132OAI: diva2:316479
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2014-09-08Bibliographically approved

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Automatic ControlThe Institute of Technology
Control Engineering

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ReferencesLink to record
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