Recursive Identification of Bilinear Systems
1987 (English)In: International Journal of Control, ISSN 0020-7179, E-ISSN 1366-5820, Vol. 45, no 2, 453-470 p.Article in journal (Refereed) Published
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
Taylor & Francis, 1987. Vol. 45, no 2, 453-470 p.
Recursive identification, Bilinear systems
IdentifiersURN: urn:nbn:se:liu:diva-100648DOI: 10.1080/00207178708933743OAI: oai:DiVA.org:liu-100648DiVA: diva2:663233