Advances in Synchronization of Coupled Fractional Order Systems

Advances in Synchronization of Coupled Fractional Order Systems

EnglishHardbackPrint on demand
Martínez-Guerra, Rafael
Springer, Berlin
EAN: 9783319939452
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Detailed information

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.

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 masterslave synchronization scheme for partially known nonlinear fractional order systems, Fractional Algebraic Observability (FAO) and Fractional Generalized quasi-Synchronization (FGqS) to name but a few.

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


EAN 9783319939452
ISBN 3319939459
Binding Hardback
Publisher Springer, Berlin
Publication date August 6, 2018
Pages 185
Language English
Dimensions 235 x 155
Country Switzerland
Readership General
Authors Martinez-Guerra, Rafael; Perez-Pinacho, Claudia Alejandra
Illustrations XIX, 185 p. 66 illus., 59 illus. in color.
Edition 1st ed. 2018
Series Understanding Complex Systems