liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
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.
LiTH-ISY-I, ISSN 8765-4321 ; 766
Keyword [en]
Recursive identification, Bilinear systems
National Category
Control Engineering
URN: urn:nbn:se:liu:diva-104363OAI: diva2:696853
Available from: 2014-02-16 Created: 2014-02-16 Last updated: 2014-02-16

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Ljung, Lennart
By organisation
Automatic ControlThe Institute of Technology
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 24 hits
ReferencesLink to record
Permanent link

Direct link