A Model of Second Order Hammerstein Series for Nonlinear System

DOI

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 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  - 10.2991/emcm-15.2016.37
ID  - Jin2016/02
ER  -