Communication Dans Un Congrès Année : 2014

Refined IV-based method for LPV partial differential equation model identification

Résumé

This paper presents a direct identification method for linear parameter varying models described by partial differential equations in an input-output setting. The continuous space-time model is firstly rewritten as a multiple-input singleoutput model. The continuous filtering operations are reformulated as a discrete convolution product and a refined instrumental variable technique is developed to efficiently estimate the model parameters. The performance of the proposed method is then illustrated via a representative simulation example.

Domaines

Fichier principal
Vignette du fichier
ECC_SCH.pdf (161.16 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Licence
Loading...

Dates et versions

hal-01058618 , version 1 (27-08-2014)

Licence

Identifiants

  • HAL Id : hal-01058618 , version 1

Citer

Julien Schorsch, Vincent Laurain, Marion Gilson, Hugues Garnier. Refined IV-based method for LPV partial differential equation model identification. 13th European Control Conference, ECC'14, Jun 2014, Strasbourg, France. pp.2127-2132. ⟨hal-01058618⟩
96 Consultations
251 Téléchargements

Partager

  • More