Téléchargez le livre : Modelling and Identification with Rational Orthogonal Basis Functions

Modelling and Identification with Rational Orthogonal Basis Functions

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Springer


Paru le : 2005-12-06

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Description
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 analysis of model quality is a substantial concern. The use of rational orthogonal basis functions to represent dynamical systems and stochastic signals can provide such a theory and underpin advanced analysis and efficient modelling. It also has the potential to extend beyond these areas to deal with many problems in circuit theory, telecommunications, systems, control theory and signal processing. Modelling and Identification with Rational Orthogonal Basis Functions affords a self-contained description of the development of the field over the last 15 years, furnishing researchers and practising engineers working with dynamical systems and stochastic processes with a standard reference work.
Pages
397 pages
Collection
n.c
Parution
2005-12-06
Marque
Springer
EAN papier
9781852339562
EAN PDF
9781846281785
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
39
Taille du fichier
4014 Ko
Prix
147,69 €

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