Title :
Neural network identification of a nonlinear circuit model of hysteresis
Author :
Cincotti, S. ; Daneri, I.
Author_Institution :
Dipartimento d´´Ingegneria, Elettrica ed Elettronica, Cagliari Univ., Italy
fDate :
6/19/1997 12:00:00 AM
Abstract :
A nonlinear circuit model of hysteretic phenomena is presented. The model provides a close prediction of static hysteresis and exhibits realistic dynamic features. The parameters of the circuit model can be identified by proper neural network training. Basic features and results are discussed
Keywords :
feedforward neural nets; hysteresis; identification; nonlinear network analysis; dynamic features; hysteretic phenomena; neural network identification; neural network training; nonlinear circuit model; static hysteresis;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19970748
