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Frequency Domain identification, Subspace Methods and Periodic Excitation
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1995 (English)Report (Other academic)
Abstract [en]

Recent frequency domain identification algorithms based on subspace based techniques are discussed. The algorithms construct a state-space model by means of extraction of the signal subspace from a matrix constructed from frequency data. A singular value decomposition plays a key part in the subspace extraction. The subspace methods are non-iterative methods in contrast to classical iterative parametric optimization techniques. The use of periodic excitation leads to a leakage free discrete Fourier transform of the measured data as well as simple noise reduction possibilities by averaging.

Place, publisher, year, edition, pages
Linköping: Linköping University , 1995. , 5 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 1765
Keyword [en]
State-space models, Singular value decomposition, Non-iterative methods
Keyword [sv]
Cybernetik Informationsteori
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-55270ISRN: LITH-ISY-R-1765OAI: oai:DiVA.org:liu-55270DiVA: diva2:315865
Available from: 2010-04-29 Created: 2010-04-29 Last updated: 2014-09-19Bibliographically approved

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Automatic ControlThe Institute of Technology
Control Engineering

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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