Lecture Notes in Statistics

Nonlinear System Identification by Haar Wavelets

Authors: Sliwinski, Przemysław

  • Provides nonparametric algorithms based on standard and unbalanced Haar bases
  • Demonstrates applicability of nonlinear approximation schemes to nonlinear system identification
  • Offers fast identification routines
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About this book

​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. ​ ​

About the authors

Dr. Przemysław Śliwiński is an assistant professor at the Wrocław University of Technology, where he received his master’s degree in 1996 and his PhD in 2000. For his master’s degree he developed an integrated development environment with a software emulator of a micro-controller. His PhD dissertation addressed the problems of nonlinear system identification using linear wavelet estimation algorithms.

Reviews

From the book reviews:

“This book is focused on identification algorithms, in particular, nonparametric identification algorithms for nonlinear dynamic systems. … This book can be a good reference for people interested in the application of wavelets in a nonlinear system. The writing style of the book makes it easy to read.” (Don Hong, Mathematical Reviews, July, 2014)

Table of contents (7 chapters)

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-642-29396-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $129.00
price for USA
  • ISBN 978-3-642-29395-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Nonlinear System Identification by Haar Wavelets
Authors
Series Title
Lecture Notes in Statistics
Series Volume
210
Copyright
2013
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-29396-2
DOI
10.1007/978-3-642-29396-2
Softcover ISBN
978-3-642-29395-5
Series ISSN
0930-0325
Edition Number
1
Number of Pages
XI, 139
Number of Illustrations and Tables
9 b/w illustrations, 18 illustrations in colour
Topics