Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/CDC.2012.6426408 | CDC |
Keywords | Field | DocType |
convergence of numerical methods,frequency-domain analysis,identification,polynomials,bi-orthonormal basis functions,bi-orthonormal polynomials,bilinear form,convergence properties,improved frequency-domain system identification,instrumental variable system identification,objective function,optimal numerical conditioning,optimal numerical properties | Frequency domain,Convergence (routing),Mathematical optimization,Bilinear form,Polynomial,Frequency domain system identification,Control theory,Computer science,Instrumental variable,System identification,Orthonormal basis functions | Conference |
ISSN | Citations | PageRank |
0743-1546 | 3 | 0.44 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Robbert van Herpen | 1 | 27 | 4.27 |
| Tom Oomen | 2 | 61 | 9.63 |
| Okko H. Bosgra | 3 | 109 | 16.28 |