NEURAL-NETWORK MODELING OF VARIABLE HYSTERETIC INDUCTORS

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