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Combining Tracking and Regularization in Recursive Least Squares Identification
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1996 (English)In: Proceedings of the 35th IEEE Conference on Decision and Control, 1996, 2551-2552 vol.3 p.Conference paper, Published paper (Refereed)
Abstract [en]

The combination of tracking and regularization in recursive identification is studied. It is shown that regularization of the information matrix corresponds to a normalization of the covariance matrix, and that several of the proposed methods for dealing with covariance matrix blow up can be interpreted as approximate implementations of covariance matrix normalization.

Place, publisher, year, edition, pages
1996. 2551-2552 vol.3 p.
Keyword [en]
Recursive Identification, Tracking, Regularization
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-93777DOI: 10.1109/CDC.1996.573481ISBN: 0-7803-3590-2 (print)OAI: oai:DiVA.org:liu-93777DiVA: diva2:628851
Conference
35th IEEE Conference on Decision and Control, Kobe, Japan, December, 1996
Available from: 2013-06-14 Created: 2013-06-10 Last updated: 2013-06-14

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Gunnarsson, Svante

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