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Recursive Identification of Bilinear Systems
ENSET, Tunisia.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1985 (English)Report (Other academic)
Abstract [en]

Methods of identifying bilinear systems from recorded input-output data are discussed in this article. A short survey of the existing literature on the topic is given. ‘Standard’ methods from linear systems identification, such as least squares, extended least squares, recursive prediction error and instrumental variable methods are transferred to bilinear, input-output model structures and tested in simulation. Special attention is paid to problems of stabilizing the model predictor, and it is shown how a time-varying Kalman filter and associated parameter estimation algorithm can deal with this problem.

Place, publisher, year, edition, pages
Linköping: Linköping University , 1985. , 38 p.
Series
LiTH-ISY-I, ISSN 8765-4321 ; 766
Keyword [en]
Recursive identification, Bilinear systems
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-104363OAI: oai:DiVA.org:liu-104363DiVA: diva2:696853
Available from: 2014-02-16 Created: 2014-02-16 Last updated: 2014-02-16

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Ljung, Lennart

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CiteExportLink to record
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Output format
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