Proceedings of the International Conference on Electronics, Mechanics, Culture and Medicine

A Model of Second Order Hammerstein Series for Nonlinear System

Authors
Guodong Jin, Libin Lu
Corresponding Author
Guodong Jin
Available Online February 2016.
DOI
https://doi.org/10.2991/emcm-15.2016.37How to use a DOI?
Keywords
Nonlinear system Hammerstein series Minimum mean square error criterion Frequency kernels
Abstract
In this paper, modeling a weakly nonlinear system whose nonlinearity is up to the second order is studied. During this task a second order Hammerstein series model is used because it can lead to a trade-off between computational cost and generalization ability. To extract such model form measured input-output data, a nonparametric algorithm based on the minimum mean square error criterion is proposed. The polyspectrum up to order 4 is used to determine the Hammerstein kernels, while the input is a random multi-sine signal. Finally the proposed modeling method is validated on simulated system.
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Proceedings
International Conference on Electronics, Mechanics, Culture and Medicine
Part of series
Advances in Computer Science Research
Publication Date
February 2016
ISBN
978-94-6252-163-6
ISSN
2352-538X
DOI
https://doi.org/10.2991/emcm-15.2016.37How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Guodong Jin
AU  - Libin Lu
PY  - 2016/02
DA  - 2016/02
TI  - A Model of Second Order Hammerstein Series for Nonlinear System
BT  - International Conference on Electronics, Mechanics, Culture and Medicine
PB  - Atlantis Press
SP  - 201
EP  - 206
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcm-15.2016.37
DO  - https://doi.org/10.2991/emcm-15.2016.37
ID  - Jin2016/02
ER  -