Name
Title | ||
|---|---|---|
Identification Of Parametric Models In The Frequency-Domain Through The Subspace Framework Under Lmi Constraints |
Abstract | ||
|---|---|---|
An extension of standard subspace-based algorithms to identify parametric systems from frequency response samples is presented. This algorithm uses arbitrary frequency spacing and allows frequency weighting. It offers the possibility to impose the model's poles location through LMI constraints. This technique is applied to a numerical example and to real industrial frequency-domain data originating from an open-channel flow for hydroelectricity production. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.23919/ECC.2018.8550180 | 2018 EUROPEAN CONTROL CONFERENCE (ECC) |
Field | DocType | Citations |
Affine transformation,Frequency domain,Applied mathematics,Mathematical optimization,Parametric model,Linear system,Polynomial,Subspace topology,Parametric statistics,Mathematics | Conference | 0 |
PageRank | References | Authors |
0.34 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pauline Kergus | 1 | 0 | 0.68 |
| Fabrice Demourant | 2 | 5 | 3.61 |
| Charles Poussot-Vassal | 3 | 25 | 13.45 |