Fractional Behaviours Modelling : Analysis and Application of Several Unusual Tools / by Jocelyn Sabatier, Christophe Farges, Vincent Tartaglione
By: Sabatier, J.(Jocelyn), autor
Contributor(s): Farges, Christophe, autor
| Tartaglione, Vincent, autor
Material type:
E-bookSeries: (Intelligent Systems Control and Automation: Science and Engineering, 2213-8994; 101).Publisher: Cham : Springer International Publishing, 2022Edition: First edition 2022.Description: 1 recurso en línea (IX, 134 páginas) : 58 ilustraciones, 44 ilustraciones a color.ISBN: 9783030967499.Subject: Cálculo fraccionario
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QA314 2022 EB (Browse shelf(Opens below)) | Acceso electrónico |
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.
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 their efficiency.
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