Vector hysteresis model based on neural network

COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

Volumn 22, Issue 3, 2003, Pages 730-743

  Kuczmann, Miklos ^a   Iványi, Amália ^a  

^a BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS   (Hungary)

Author keywords

Hysteresis; Neural networks

Indexed keywords

APPROXIMATION THEORY; MAGNETIC MATERIALS; MATHEMATICAL MODELS; NEURAL NETWORKS; VECTORS;

KOLMOGOROV-ARNOLD THEORY; VECTOR HYSTERESIS MODEL;

MAGNETIC HYSTERESIS;

EID: 0042021641     PISSN: 03321649     EISSN: None     Source Type: Journal    
DOI: 10.1108/03321640310475155     Document Type: Article

References (12)

1. Adly, A.A. and Abd-El-Hazif, S.K. (1998), "Using neural networks in the identification of Preisach-type hysteresis models", IEEE Trans. Magn., Vol. 34, pp. 629-35.
2. Adly, A.A., Abd-El-Hafiz, S.K. and Mayergoyz, I.D. (2000), "Identification of vector Preisach models from arbitrary measured data using neural networks", Journal of Applied Physics, Vol. 87 No. 9, pp. 6821-3.
3. Christodoulou, C. and Georgiopoulos, M. (2001), Applications of Neural Networks in Electromagnetics, Artech House, Norwood.
4. Füzi, J. (2000), "Anisotropic vector Preisach particle", Journal of Magnetism and Magnetic Materials, Vol. 215-16, pp. 597-600.
5. Iványi, A. (1997), Hysteresis Models in Electromagnetic Computation, Akadémia Kiadó, Budapest.
6. Kuczmann, M. and Iványi, A. (2001), "Vector neural network hysteresis model", Physica B, Vol. 306, pp. 143-8.
7. Kuczmann, M. and Iványi, A. (2002a), "A new neural-network-based scalar hysteresis model", IEEE Trans. Magn., Vol. 38 No. 2, pp. 857-60.
8. Kuczmann, M. and Iványi, A. (2002b), "Neural network model of magnetic hysteresis", Compel, Vol. 21 No. 3, pp. 364-76.
9. Kuczmann, M. and Iványi, A. (2002c), "Neural network based vector hysteresis operator", Proceedings of the Tenth Biennial IEEE CEFC, 16-19 June, Perugia, Italy, p. 259.
10. Mayergoyz, I.D. (1991), Mathematical Models of Hysteresis, Springer, Berlin.
11. Ragusa, C. and Repetto, M. (2000), "Accurate analysis of magnetic devices with anisotropic vector hysteresis", Physica B, Vol. 275, pp. 92-8.
12. Serpico, C. and Visone, C. (1998), "Magnetic hysteresis modeling via feed-forward neural networks", IEEE Trans. Magn., Vol. 34, pp. 623-8.