Modelling and Identification with Rational Orthogonal Basis Functions

• Corporate Author: SpringerLink (Online service)
• Other Authors: Heuberger, Peter S.C (Editor), Hof, Paul M.J. Van den (Editor), Wahlberg, Bo (Editor)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London, 2005.
• Subjects: Engineering.; Computer simulation.; System theory.; Control engineering.; Control.; Systems Theory, Control.; Simulation and Modeling.; Signal, Image and Speech Processing.

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...

Table of Contents:

• 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.