Neural-Preisach-type models and their application to the identification of magnetic hysteresis from noisy data

Physica B: Condensed Matter

Volumn 275, Issue 1-3, 2000, Pages 223-227

  Visone, C ^a   Serpico, C ^b   Mayergoyz, I D ^b   Huang, M W ^b   Adly, A A ^c  

^a UNIVERSITY OF NAPLES FEDERICO II   (Italy)

^b UNIVERSITY OF MARYLAND   (United States)

^c CAIRO UNIVERSITY   (Egypt)

Author keywords

[No Author keywords available]

Indexed keywords

FEEDFORWARD NEURAL NETWORKS; LEARNING ALGORITHMS; MAGNETIC HYSTERESIS; MATHEMATICAL MODELS; NUMERICAL ANALYSIS; SIGNAL FILTERING AND PREDICTION; TRANSDUCERS;

PREISACH MODEL;

MAGNETIC MATERIALS;

EID: 0033640462     PISSN: 09214526     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0921-4526(99)00764-4     Document Type: Article

References (9)

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3. C. Serpico, C. Visone, IEEE Trans. Magn. 34 (3) (1998) 623.
4. A.A. Adly, S.K. Abd-El-Hafiz, Using neural networks in the identification of preisach-type hysteresis models, IEEE Trans. Magn. 34 (3) (1998) 629.
5. I.D. Mayergoyz, Mathematical Models of Hysteresis, Springer, New York, 1991.
6. M. Brokate, J. Sprekels, Hysteresis and Phase Transitions, Springer, Berlin, 1996.
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8. V. Basso, G. Bertotti, IEEE Trans. Magn. 32 (5) (1996) 4210.
9. G. Cybenko, Math. Control Signals Systems 2 (1989) 303.