Parameter estimation of continuous-time bilinear systems based on numerical integration and separable non-linear least-squares
2007 (English)In: International Journal of Control, ISSN 0020-7179, E-ISSN 1366-5820, Vol. 80, no 3, 329-339 p.Article in journal (Refereed) Published
This paper considers the problem of estimating the parameters in continuous-time bilinear systems. The system identification approach is based on numerical integration and separable non-linear least-squares. The situation where the output signal is contaminated with noise is also discussed. The suggested estimation method uses a bias compensating approach and the model parameters together with parameters associated with the noise are estimated by solving an overdetermined system of equation in a least-squares sense.
Place, publisher, year, edition, pages
2007. Vol. 80, no 3, 329-339 p.
Computer and Information Science
IdentifiersURN: urn:nbn:se:uu:diva-10179DOI: 10.1080/00207170600798880ISI: 000244983500001OAI: oai:DiVA.org:uu-10179DiVA: diva2:37947