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Frequency Weighted Subspace Based System Identification in the Frequency Domain
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1995 (English)In: Proceedings of the 34th IEEE Conference on Decision and Control, 1995, 1228-1233 vol.2 p.Conference paper, Published paper (Refereed)
Abstract [en]

Frequency weighting capabilities are introduced in a subspace based frequency domain identification algorithm. Weighting matrices constructed from the impulse response of weighting filters are used to weight a Hankel matrix prior of deriving the signal subspace by the singular value decomposition. The resulting algorithm is shown to asymptotically produce models which are the frequency weighted balanced truncation of the identified system. An illustrative example shows the applicability of the method for finite data.

Place, publisher, year, edition, pages
1995. 1228-1233 vol.2 p.
Keyword [en]
Hankel matrices, Filtering theory, Frequency-domain analysis, Identification
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-93737DOI: 10.1109/CDC.1995.480265ISBN: 0-7803-2685-7 (print)OAI: oai:DiVA.org:liu-93737DiVA: diva2:628098
Conference
34th IEEE Conference on Decision and Control, New Orleans, LA, USA, December, 1995
Available from: 2013-06-13 Created: 2013-06-10 Last updated: 2013-06-13

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CiteExportLink to record
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