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Synchronisation of chaos and its applications

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Title: Synchronisation of chaos and its applications
Authors: Eroglu, D
Lamb, JSW
Pereira, T
Item Type: Journal Article
Abstract: Dynamical networks are important models for the behaviour of complex systems, modelling physical, biological and societal systems, including the brain, food webs, epidemic disease in populations, power grids and many other. Such dynamical networks can exhibit behaviour in which deterministic chaos, exhibiting unpredictability and disorder, coexists with synchronisation, a classical paradigm of order. We survey the main theory behind complete, generalised and phase synchronisation phenomena in simple as well as complex networks and discuss applications to secure communications, parameter estimation and the anticipation of chaos.
Issue Date: 27-Jul-2017
Date of Acceptance: 2-Jun-2017
URI: http://hdl.handle.net/10044/1/53479
DOI: https://dx.doi.org/10.1080/00107514.2017.1345844
ISSN: 0010-7514
Publisher: Taylor & Francis
Start Page: 207
End Page: 243
Journal / Book Title: Contemporary Physics
Volume: 58
Issue: 3
Copyright Statement: This is an Accepted Manuscript of an article published by Taylor & Francis Group in Contemporary Physics on 27 July 2017, available online at: http://www.tandfonline.com/10.1080/00107514.2017.1345844
Sponsor/Funder: Commission of the European Communities
Commission of the European Communities
Funder's Grant Number: FP7-PEOPLE-2011-IIF-303180
643073
Keywords: Science & Technology
Physical Sciences
Physics, Multidisciplinary
Physics
Synchronisation
interaction
networks
stability
coupled systems
COUPLED-OSCILLATOR-SYSTEMS
PHASE SYNCHRONIZATION
GENERALIZED SYNCHRONIZATION
COMPLEX NETWORKS
STABILITY THEORY
TIME-SERIES
LASERS
ATTRACTORS
SIGNALS
MOTION
01 Mathematical Sciences
02 Physical Sciences
Fluids & Plasmas
Publication Status: Published
Appears in Collections:Mathematics
Applied Mathematics and Mathematical Physics
Faculty of Natural Sciences