Bi-orthonormal basis functions for improved frequency domain system identification

R.M.A. Herpen, van, T.A.E. Oomen, O.H. Bosgra

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

3 Citaten (Scopus)

Samenvatting

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.
Originele taal-2Engels
TitelProceedings of the 51st IEEE Conference on Decision and Control (CDC 2012), 10-13 December 2012, Maui, Hawaii
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's3451-3456
ISBN van geprinte versie978-1-4673-2064-1
DOI's
StatusGepubliceerd - 2012

Vingerafdruk Duik in de onderzoeksthema's van 'Bi-orthonormal basis functions for improved frequency domain system identification'. Samen vormen ze een unieke vingerafdruk.

  • Citeer dit

    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