Hysteresis nonlinearity identification using new Preisach model-based artificial neural network approach.

Zakerzadeh, Mohammad Reza, et al. "Hysteresis nonlinearity identification using new Preisach model-based artificial neural network approach.." Journal of Applied Mathematics 2011 (2011): Article ID 458768, 22 p.-Article ID 458768, 22 p.. <http://eudml.org/doc/228470>.

@article{Zakerzadeh2011,
author = {Zakerzadeh, Mohammad Reza, Firouzi, Mohsen, Sayyaadi, Hassan, Shouraki, Saeed Bagheri},
journal = {Journal of Applied Mathematics},
keywords = {Preisach model; hysteresis identification method; neural network approach; hysteresis nonlinearity modeling},
language = {eng},
pages = {Article ID 458768, 22 p.-Article ID 458768, 22 p.},
publisher = {Hindawi Publishing Corporation, New York},
title = {Hysteresis nonlinearity identification using new Preisach model-based artificial neural network approach.},
url = {http://eudml.org/doc/228470},
volume = {2011},
year = {2011},
}

TY - JOUR
AU - Zakerzadeh, Mohammad Reza
AU - Firouzi, Mohsen
AU - Sayyaadi, Hassan
AU - Shouraki, Saeed Bagheri
TI - Hysteresis nonlinearity identification using new Preisach model-based artificial neural network approach.
JO - Journal of Applied Mathematics
PY - 2011
PB - Hindawi Publishing Corporation, New York
VL - 2011
SP - Article ID 458768, 22 p.
EP - Article ID 458768, 22 p.
LA - eng
KW - Preisach model; hysteresis identification method; neural network approach; hysteresis nonlinearity modeling
UR - http://eudml.org/doc/228470
ER -