Frequency-domain identification algorithms are considered. The aim of this paper is to develop a new algorithm that i) converges to a minimum of the objective function, and ii) possesses optimal numerical properties. Hereto, recent results in instrumental variable system identification are exploited. In addition, a new bilinear form is proposed that leads to the novel introduction of bi-orthonormal polynomials in system identification. The combination of these aspects leads to the desired convergence properties in conjunction with optimal numerical conditioning. The results are supported by means of a simulation example.
|Titel||Proceedings of the 51st IEEE Conference on Decision and Control (CDC 2012), 10-13 December 2012, Maui, Hawaii|
|Plaats van productie||Piscataway|
|Uitgeverij||Institute of Electrical and Electronics Engineers|
|ISBN van geprinte versie||978-1-4673-2064-1|
|Status||Gepubliceerd - 2012|
Herpen, van, R. M. A., Oomen, T. A. E., & Bosgra, O. H. (2012). Bi-orthonormal basis functions for improved frequency domain system identification. In Proceedings of the 51st IEEE Conference on Decision and Control (CDC 2012), 10-13 December 2012, Maui, Hawaii (blz. 3451-3456). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CDC.2012.6426408