Neural network modelling of variable hysteretic inductors

被引：9

作者：

Cincotti, S

Marchesi, M

Serri, A

机构：

[1] Dipto. Ingegneria Elettrica E., Università di Cagliari, 09123 Cagliari, Piazza d'Armi

来源：

ELECTRONICS LETTERS | 1996年 / 32卷 / 12期

关键词：

neural networks; magnetic devices;

D O I：

10.1049/el:19960708

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A neural model for devices made using hysteretic materials is presented. The model provides a close prediction of dynamic hysteresis loops and accounts for dependencies on position. Traditional theoretical approach limitations and experimental results are discussed.

引用

页码：1054 / 1055

页数：2

共 9 条

[1] A POSSIBLE ALTERNATIVE TO PREISACHS MODEL OF STATIC HYSTERESIS [J].

BOBBIO, S ;

MARRUCCI, G .

NUOVO CIMENTO DELLA SOCIETA ITALIANA DI FISICA D-CONDENSED MATTER ATOMIC MOLECULAR AND CHEMICAL PHYSICS FLUIDS PLASMAS BIOPHYSICS, 1993, 15 (05) :723-733

[2] LUMPED-CIRCUIT MODELS FOR NONLINEAR INDUCTORS EXHIBITING HYSTERESIS LOOPS [J].