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Comparing some classes of bias-compensating least squares methods
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
2013 (English)In: Automatica, ISSN 0005-1098, E-ISSN 1873-2836, Vol. 49, no 3, 840-845 p.Article in journal (Refereed) Published
Abstract [en]

Three different classes of bias-compensating least squares identification methods are compared, and shown to be identical. It is also discussed how the user parameters in the classes can be chosen to achieve optimal accuracy of the parameter estimates.

Place, publisher, year, edition, pages
2013. Vol. 49, no 3, 840-845 p.
Keyword [en]
System identification, Bias compensation, Errors-in-variables models, Linear systems
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:uu:diva-198924DOI: 10.1016/j.automatica.2013.01.003ISI: 000316590300019OAI: oai:DiVA.org:uu-198924DiVA: diva2:618662
Available from: 2013-04-29 Created: 2013-04-29 Last updated: 2017-12-06Bibliographically approved

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Söderström, Torsten

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