Modelling and identification with rational orthogonal basis functions
Models of dynamical systems are of great importance in almost all fields of science and engineering and specifically in control, signal processing and information science. A model is always only an approximation of a real phenomenon so that having an approximation theory which allows for the analysi...
Guardat en:
| Altres autors: | , , |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
London :
Springer London
[20..].
Cham : Springer Nature |
| Edició: | 1st ed. 2005. |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
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| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Modelling and identification with rational orthogonal basis functions, Peter S.C. Heuberger, Paul M.J. Van den Hof and Bo Wahlberg (eds.), London, Springer, 2005, 1 vol. (xxvi-397 p.), 1-85233-956-X |
Taula de continguts:
- Construction and Analysis Transformation Analysis System Identification with Generalized Orthonormal Basis Functions Variance Error, Reproducing Kernels, and Orthonormal Bases Numerical Conditioning Model Uncertainty Bounding Frequency-domain Identification in ?2 Frequency-domain Identification in ?? Design Issues Pole Selection in GOBF Models Transformation Theory Realization Theory