Logo - springer
Slogan - springer

Engineering - Control Engineering | Combined Parametric-Nonparametric Identification of Block-Oriented Systems

Combined Parametric-Nonparametric Identification of Block-Oriented Systems

Mzyk, Grzegorz

2014, XVI, 238 p. 68 illus.

Available Formats:
eBook
Information

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.

 
$79.99

(net) price for USA

ISBN 978-3-319-03596-3

digitally watermarked, no DRM

Included Format: PDF

download immediately after purchase


learn more about Springer eBooks

add to marked items

Softcover
Information

Softcover (also known as softback) version.

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.

 
$109.00

(net) price for USA

ISBN 978-3-319-03595-6

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days


add to marked items

  • Focuses on a problem of block-oriented nonlinear dynamic system identification in the presence of random disturbances
  • The presented 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
  • Written by experts in the field

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.

Content Level » Research

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

Related subjects » Applications - Control Engineering - Statistical Physics & Dynamical Systems

Table of contents 

Hammerstein system.- Wiener system.- Wiener-Hammerstein (sandwich) system.- Large-scale interconnected systems.- Structure detection and model order selection.- Time-varying systems.- Simulation studies.- Summary.

Popular Content within this publication 

 

Articles

Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Control.