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Frequency Domain Accuracy of Recursively Identified ARX Models
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1991 (English)In: International Journal of Control, ISSN 0020-7179, E-ISSN 1366-5820, Vol. 54, no 2, 465-480 p.Article in journal (Refereed) Published
Abstract [en]

Recursive identification of time varying systems using ARX models is considered, with focus on the accuracy of the transfer function estimates. Three recursive identification algorithms are studied, the least mean squares algorithm, the recursive least squares algorithm and the Kalman filter respectively. The model accuracy is studied in terms of algorithm design variables, input and disturbance signal properties and variations of the true system. Using asymptotic methods approximate expressions for the model quality are derived. The derived expressions are validated by simulations.

Place, publisher, year, edition, pages
1991. Vol. 54, no 2, 465-480 p.
Keyword [en]
Identification, ARX models, Simulations
National Category
Control Engineering
URN: urn:nbn:se:liu:diva-95634DOI: 10.1080/00207179108934170OAI: diva2:637013
Available from: 2013-07-15 Created: 2013-07-15 Last updated: 2013-07-15

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Gunnarsson, Svante
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Automatic ControlThe Institute of Technology
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ReferencesLink to record
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