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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)In: Proceedings of the 2nd Russian-Swedish Control Conference, 1995, 138-142 p.Conference paper, Published paper (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
1995. 138-142 p.
Keyword [en]
Frequency, Identification, Subspace methods, Excitation
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-93716OAI: oai:DiVA.org:liu-93716DiVA: diva2:629077
Conference
2nd Russian-Swedish Control Conference, St. Petersburg, Russia, August, 1995
Available from: 2013-06-16 Created: 2013-06-10 Last updated: 2013-06-16

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • modern-language-association-8th-edition
  • vancouver
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Output format
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