Combined Parametric-Nonparametric Identification of Block-Oriented Systems

  • Grzegorz Mzyk

Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 454)

Table of contents

  1. Front Matter
    Pages 1-13
  2. Grzegorz Mzyk
    Pages 1-21
  3. Grzegorz Mzyk
    Pages 23-85
  4. Grzegorz Mzyk
    Pages 87-102
  5. Grzegorz Mzyk
    Pages 103-111
  6. Grzegorz Mzyk
    Pages 113-136
  7. Grzegorz Mzyk
    Pages 137-147
  8. Grzegorz Mzyk
    Pages 149-169
  9. Grzegorz Mzyk
    Pages 171-180
  10. Grzegorz Mzyk
    Pages 181-187
  11. Grzegorz Mzyk
    Pages 189-191
  12. Back Matter
    Pages 193-238

About this book


This book considers a problem of block-oriented nonlinear dynamic system identification in the presence of random disturbances. This class of systems includes various interconnections of linear dynamic blocks and static nonlinear elements, e.g., Hammerstein system, Wiener system, Wiener-Hammerstein ("sandwich") system and additive NARMAX systems with feedback. Interconnecting signals are not accessible for measurement. The combined parametric-nonparametric algorithms, proposed in the book, can be selected dependently on the prior knowledge of the system and signals. Most of them are based on the decomposition of the complex system identification task into simpler local sub-problems by using non-parametric (kernel or orthogonal) regression estimation. In the parametric stage, the generalized least squares or the instrumental variables technique is commonly applied to cope with correlated excitations. Limit properties of the algorithms have been shown analytically and illustrated in simple experiments.


Block-Oriented Systems Control Nonlinear Dynamics Hammerstein System NARMAX Systems Nonlinear Dynamic Systems Identification Parametric-Nonparametric Identification Wiener-Hammerstein

Authors and affiliations

  • Grzegorz Mzyk
    • 1
  1. 1.Institute of Computer Engineering, Control and RoboticsWrocław University of TechnologyWrocławPoland

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-03595-6
  • Online ISBN 978-3-319-03596-3
  • Series Print ISSN 0170-8643
  • Series Online ISSN 1610-7411
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