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Efficient Unconventional Models Of Multi-component Magnetic Hysteresis
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Efficient Unconventional Models Of Multi-component Magnetic Hysteresis in Ottawa, ON
Current price: $84.95


Efficient Unconventional Models Of Multi-component Magnetic Hysteresis in Ottawa, ON
Current price: $84.95
Loading Inventory...
Size: Hardcover
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This unique compendium deals with modeling magnetic media exhibiting hysteresis using computationally efficient phenomenological models that may be utilized in a wide spectrum of both coupled and non-coupled situations. The main factors affecting the behavior of media exhibiting hysteresis — such as magnetic field, mechanical stress and temperature — are dealt with from a higher-level perspective.The volume offers a brief review of well-established definitions of the hysteresis phenomena and widely utilized models. It then presents in its separate chapters a set of innovative efficient multi-component hysteresis models, some of which involves novel operators and/or neural network activation functions as primitive building blocks. Identification methodologies, simulations and experimental verifications for the presented models are also prominently highlighted.This useful reference text offers a great resource material for academics, professionals, researchers and graduate students in electrical and electronic engineering, superconductivity, magnetic materials and mechanical engineering.
This unique compendium deals with modeling magnetic media exhibiting hysteresis using computationally efficient phenomenological models that may be utilized in a wide spectrum of both coupled and non-coupled situations. The main factors affecting the behavior of media exhibiting hysteresis — such as magnetic field, mechanical stress and temperature — are dealt with from a higher-level perspective.The volume offers a brief review of well-established definitions of the hysteresis phenomena and widely utilized models. It then presents in its separate chapters a set of innovative efficient multi-component hysteresis models, some of which involves novel operators and/or neural network activation functions as primitive building blocks. Identification methodologies, simulations and experimental verifications for the presented models are also prominently highlighted.This useful reference text offers a great resource material for academics, professionals, researchers and graduate students in electrical and electronic engineering, superconductivity, magnetic materials and mechanical engineering.


















