Fractional Behaviours Modelling

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Details

This book is dedicated to the analysis and modelling of fractional behaviours that mainly result from physical stochastic phenomena (diffusion, adsorption or aggregation, etc.) of a population (ions, molecules, people, etc.) in a constrained environment and that can be found in numerous areas. It breaks with the usual approaches based on fractional models since it proposes to use unusual models which have the advantage of overcoming some of the limitations of fractional models.

This book is dedicated to postgraduated students and to researchers in the field or those who wish to learn with a fresh perspective. After a review of fractional models and their limitations, it proposes and demonstrates the interest of four other modelling tools to capture fractional behaviours: new kernels in integral operators, Volterra equations, nonlinear models and partial differential equations with spatially variable coefficients. Several applications on real data and devices illustrate theirefficiency.



Focuses on the modeling of fractional kinetics or dynamic behaviors Presents research on several classes of models capable of capturing long memory power-law type behaviors Describes modeling tools other than fractional models and explains how they solve their limitations and drawbacks

Inhalt
Introduction.- Power-law type dynamic behaviours.- Fractional order models.- Introduction of new kernels.- Volterra equation.- Non-linear models.- Partial differential equations with spatially variable coefficients.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783030967482
    • Lesemotiv Verstehen
    • Genre Electrical Engineering
    • Auflage 1st edition 2022
    • Sprache Englisch
    • Anzahl Seiten 144
    • Herausgeber Springer International Publishing
    • Größe H241mm x B160mm x T14mm
    • Jahr 2022
    • EAN 9783030967482
    • Format Fester Einband
    • ISBN 3030967484
    • Veröffentlichung 19.03.2022
    • Titel Fractional Behaviours Modelling
    • Autor Jocelyn Sabatier , Vincent Tartaglione , Christophe Farges
    • Untertitel Analysis and Application of Several Unusual Tools
    • Gewicht 389g

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