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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.
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
URN: urn:nbn:se:liu:diva-55270ISRN: LITH-ISY-R-1765OAI: 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
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