Advances in Synchronization of Coupled Fractional Order Systems

£44.99

Advances in Synchronization of Coupled Fractional Order Systems

Fundamentals and Methods

Cybernetics and systems theory Optical physics Mathematical physics Maths for engineers Engineering: Mechanics of solids

Authors: Rafael Martinez-Guerra, Claudia Alejandra Perez-Pinacho

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Collection: Understanding Complex Systems

Language: English

Published by: Springer

Published on: 23rd July 2018

Format: LCP-protected ePub

Size: 11 Mb

ISBN: 9783319939469


Introduction to Fractional Calculus and Dynamical Systems

After a short introduction to the fundamentals, this book provides a detailed account of major advances in applying fractional calculus to dynamical systems. Fractional order dynamical systems currently continue to gain further importance in many areas of science and engineering.

Fundamentals and Basic Aspects

As with many other approaches to mathematical modeling, the first issue to be addressed is the need to couple a definition of the fractional differentiation or integration operator with the types of dynamical systems that are analyzed. As such, for the fundamentals the focus is on basic aspects of fractional calculus, in particular stability analysis, which is required to tackle synchronization in coupled fractional order systems, to understand the essence of estimators for related integer order systems, and to keep track of the interplay between synchronization and parameter observation. This serves as the common basis for the more advanced topics and applications presented in the subsequent chapters, which include an introduction to the Immersion and Invariance (I&I) methodology, the master-slave synchronization scheme for partially known nonlinear fractional order systems, Fractional Algebraic Observability (FAO) and Fractional Generalized quasi-Synchronization (FGqS) to name but a few.

Intended Audience

This book is intended not only for applied mathematicians and theoretical physicists, but also for anyone in applied science dealing with complex nonlinear systems.

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