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Efficient implementation of vector Preisach-type models using orthogonally coupled hysteresis operators

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2 Author(s)
Adly, A.A. ; Fac. of Eng., Cairo Univ., Giza, Egypt ; Abd-El-Hafiz, S.K.

Vector hysteresis models are regarded as helpful tools that can be utilized in the simulation of multidimensional field-media interactions. Recently, substantial efforts have been focused on the refinement of vector Preisach-type models of hysteresis. The purpose of this paper is to present a computationally efficient vector Preisach-type hysteresis model constructed from only two scalar models having orthogonally inter-related elementary operators. Such a model is implemented via a linear neural network (LNN) fed from the outputs of discrete Hopfield neural network (DHNN) blocks having step activation functions. With this DHNN-LNN configuration, it is possible to carry out the identification process using well-established widely available algorithms. Details of the model, its identification, and experimental testing are presented.

Published in:

Magnetics, IEEE Transactions on  (Volume:42 ,  Issue: 5 )

Date of Publication:

May 2006

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