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2018 | Book

Synchronization in Networks of Nonlinear Circuits

Essential Topics with MATLAB® Code

Authors: Dr. Mattia Frasca, Dr. Lucia Valentina Gambuzza, Dr. Arturo Buscarino, Prof. Luigi Fortuna

Publisher: Springer International Publishing

Book Series : SpringerBriefs in Applied Sciences and Technology

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About this book

This book addresses synchronization in networks of coupled systems. It illustrates the main aspects of the phenomenon through concise theoretical results and code, allowing readers to reproduce them and encouraging readers to pursue their own experimentation.

The book begins by introducing the mathematical representation of nonlinear circuits and the code for their simulation. This is followed by a brief account of the concept of the complex network, which describes the main aspects of complex networks and the main model types, with a particular focus on the code used to study and reproduce the models.

The focus then shifts to the process through which independent nonlinear circuits that follow different trajectories without coupling share some properties of their motion: synchronization. The authors present the main techniques for studying synchronization in complex networks, including the major measures, the stability properties and control techniques. The book then moves on to advanced topics in synchronization of complex networks by examining forms of synchronization in which not all the units share the same trajectory, namely chimera states, clustering synchronization, and relay and remote synchronization. Simple codes for experimentation with these topics and control methods are also provided. In closing, the book addresses the problem of synchronization in time-varying networks.

Table of Contents

Frontmatter
Chapter 1. Introduction
Abstract
In this chapter, introductory concepts on synchronization and complex networks are given. We provide basic notions on synchronization of pairs of nonlinear systems and on complex networks, and define the differential equations representing the dynamics of a nonlinear system. These are the ingredients needed for the study of synchronization in complex networks that will be dealt with in the next chapters.
Mattia Frasca, Lucia Valentina Gambuzza, Arturo Buscarino, Luigi Fortuna
Chapter 2. Global Synchronization
Abstract
In this chapter, we discuss the most studied form of synchronization in a network, where all the units asymptotically converge toward the same trajectory. After describing the phenomenon and the measures to characterize it, we illustrate the methods for the study of the stability and present some results on how to control it.
Mattia Frasca, Lucia Valentina Gambuzza, Arturo Buscarino, Luigi Fortuna
Chapter 3. Chimera States
Abstract
In this chapter we study chimera states, a regime where the units of a symmetric network split into groups with coherent and incoherent behaviors, thus breaking the symmetry of the structure. We discuss illustrative examples, control techniques, and experimental observations of these states, with particular focus on those performed on networks of electronic circuits.
Mattia Frasca, Lucia Valentina Gambuzza, Arturo Buscarino, Luigi Fortuna
Chapter 4. Cluster Synchronization
Abstract
In this chapter, synchronization of a network into groups with distinct behavior is discussed. Both networks with heterogeneous units and networks with identical node dynamics are considered, and the peculiarities of this form of synchronization in the two cases are illustrated.
Mattia Frasca, Lucia Valentina Gambuzza, Arturo Buscarino, Luigi Fortuna
Chapter 5. Remote and Relay Synchronization
Abstract
In this chapter, two related phenomena, remote and relay synchronization, are dealt with. They are first illustrated in simple motifs (chains and star-like configurations) and, then, in arbitrary random networks of heterogeneous oscillators. The case of networks with identical node dynamics in the presence of symmetries is also briefly illustrated.
Mattia Frasca, Lucia Valentina Gambuzza, Arturo Buscarino, Luigi Fortuna
Chapter 6. Synchronization in Time-Varying Networks
Abstract
In this chapter, we study synchronization in time-varying networks. These are structures modeling systems where the interactions among the nodes change in time. We analyze global synchronization in two relevant cases: when the time-dependence derives from motion of agents and when it is induced by a pattern of activity. Finally, we illustrate the onset of chimera states in a time-varying topology.
Mattia Frasca, Lucia Valentina Gambuzza, Arturo Buscarino, Luigi Fortuna
Chapter 7. Conclusive Remarks
Abstract
Many natural and man-made systems are complex as they are formed by units that are dynamical and interact with each other. Such systems are modeled by a set of ordinary differential equations, often written in a dimensionless form to capture the generality of the approach, where a complex network accounts for the interactions among the system units. Despite each unit has its own intrinsic dynamics, which can differ from that of the other system elements, the presence of the interactions may generate the onset of a collective synchronous status, where all the units agree to follow a common behavior.
Mattia Frasca, Lucia Valentina Gambuzza, Arturo Buscarino, Luigi Fortuna
Metadata
Title
Synchronization in Networks of Nonlinear Circuits
Authors
Dr. Mattia Frasca
Dr. Lucia Valentina Gambuzza
Dr. Arturo Buscarino
Prof. Luigi Fortuna
Copyright Year
2018
Electronic ISBN
978-3-319-75957-9
Print ISBN
978-3-319-75956-2
DOI
https://doi.org/10.1007/978-3-319-75957-9