Nonlinear system identification by Haar wavelets Przemysław Śliwiński

Format:

Book

Author/Creator:

Śliwiński, Przemysław

Series:

Lecture notes in statistics (Springer-Verlag) v. 210

Lecture notes in statistics 210

Language:

English

Subjects (All):

System identification--Mathematical models.

System identification.

Wavelets (Mathematics).

Haar system (Mathematics).

Physical Description:

1 online resource

Place of Publication:

Heidelberg New York Springer Verlag ©2013

Summary:

In order to precisely model real-life systems or man-made devices, both nonlinear and dynamic properties need to be taken into account. The generic, black-box model based on Volterra and Wiener series is capable of representing fairly complicated nonlinear and dynamic interactions, however, the resulting identification algorithms are impractical, mainly due to their computational complexity. One of the alternatives offering fast identification algorithms is the block-oriented approach, in which systems of relatively simple structures are considered. The book provides nonparametric identification algorithms designed for such systems together with the description of their asymptotic and computational properties

Contents:

Introduction

Hammerstein systems

Identification goal

Haar orthogonal bases

Identification algorithms

Computational algorithms

Final remarks

Technical derivations

Common symbols

Notes:

Includes bibliographical references (pages 129-135) and index

Other Format:

Print version Śliwiński, Przemysław. Nonlinear system identification by Haar wavelets

ISBN:

9783642293955

3642293956

3642293964

9783642293962

OCLC:

985060686

Access Restriction:

Restricted for use by site license