A Model of Second Order Hammerstein Series for Nonlinear System
Guodong Jin, Libin Lu
Available Online February 2016.
- https://doi.org/10.2991/emcm-15.2016.37How to use a DOI?
- Nonlinear system Hammerstein series Minimum mean square error criterion Frequency kernels
- 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.
- 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 -