Advances in Synchronization of Coupled Fractional Order Systems

Advances in Synchronization of Coupled Fractional Order Systems
Author :
Publisher : Springer
Total Pages : 196
Release :
ISBN-10 : 9783319939469
ISBN-13 : 3319939467
Rating : 4/5 (69 Downloads)

Book Synopsis Advances in Synchronization of Coupled Fractional Order Systems by : Rafael Martínez-Guerra

Download or read book Advances in Synchronization of Coupled Fractional Order Systems written by Rafael Martínez-Guerra and published by Springer. This book was released on 2018-07-23 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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