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Book Synopsis
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.

Efficient Unconventional Models Of

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    A Hardback by Amr Amin Mohamed Adly

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      View other formats and editions of Efficient Unconventional Models Of by Amr Amin Mohamed Adly

      Publisher: World Scientific Publishing Co Pte Ltd
      Publication Date: 19/01/2022
      ISBN13: 9789811237362, 978-9811237362
      ISBN10: 9811237360

      Description

      Book Synopsis
      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.

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