Efficient Implementation of Anisotropic Vector Preisach-Type Models Using Coupled Step Functions

Anisotropic vector hysteresis models are important tools for the accurate simulation of multi-dimensional field-media interactions. This paper presents a computationally efficient vector Preisach-type model for media exhibiting uniaxial anisotropy. The model is constructed from two scalar models having orthogonally inter-related elementary operators. Such model is implemented via two linear neural networks fed from the outputs of discrete Hopfield neural network blocks having step activation functions. Details of the model, its identification, and simulation results are presented in the paper