Identification of Continuous-time Models from Sampled Data
System identification is an established field in the area of system analysis and control. It aims to determine particular models for dynamical systems based on observed inputs and outputs. Although dynamical systems in the physical world are naturally described in the continuous-time domain, most sy...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Livre numérique |
| Sprache: | Anglais |
| Veröffentlicht: |
London :
Springer London
2008.
Cham : Springer Nature |
| Schriftenreihe: | Advances in Industrial Control
|
| Online Zugang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Anmerkung: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Identification of continuous-time models from sampled data, edited by Hugues Garnier, Liuping Wang, 2008, Berlin, Springer, 1 vol. (XXVI-411 p.), Advances in industrial control, 978-1-8480-0160-2 • Identification of Continuous-time Models from Sampled Data, Texte imprimé, 9781848007185 • Identification of Continuous-time Models from Sampled Data, Texte imprimé, 9781849967402 |