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**Harvard**

Moradi, S. och Anderson, J. (2016) *Self-organisation of stochastic oscillators in a predator-prey model *.

** BibTeX **

@conference{

Moradi2016,

author={Moradi, Sara and Anderson, Johan},

title={Self-organisation of stochastic oscillators in a predator-prey model },

booktitle={21st EU-US Transport Task Force Meeeting, Leysin, 5-8 September 2016},

abstract={A predator-prey model of dual populations with stochastic oscillators is presented. A linear cross-coupling between the two populations is introduced following the coupling between the motions of a Wilberforce pendulum in two dimensions: one in the longitudinal and the other in torsional plain. Within each population a Kuramoto type competition between the phases is assumed. Thus, the synchronization state of the whole system is controlled by these two types of competitions. The results of the numerical simulations show that by adding the linear cross-coupling interactions predator-prey oscillations between the two populations appear which results in self-regulation of the system by a transfer of synchrony between the two populations. The model represents several important features of the dynamical interplay between the drift wave and zonal flow turbulence in magnetically confined plasmas, and a novel interpretation of the coupled dynamics of drift wave-zonal flow turbulence using synchronization of stochastic oscillator is discussed.},

year={2016},

keywords={Stochastic oscillators, Lotka-Volterra, Synchronization, Self-organization, Simulation },

}

** RefWorks **

RT Conference Proceedings

SR Print

ID 242344

A1 Moradi, Sara

A1 Anderson, Johan

T1 Self-organisation of stochastic oscillators in a predator-prey model

YR 2016

T2 21st EU-US Transport Task Force Meeeting, Leysin, 5-8 September 2016

AB A predator-prey model of dual populations with stochastic oscillators is presented. A linear cross-coupling between the two populations is introduced following the coupling between the motions of a Wilberforce pendulum in two dimensions: one in the longitudinal and the other in torsional plain. Within each population a Kuramoto type competition between the phases is assumed. Thus, the synchronization state of the whole system is controlled by these two types of competitions. The results of the numerical simulations show that by adding the linear cross-coupling interactions predator-prey oscillations between the two populations appear which results in self-regulation of the system by a transfer of synchrony between the two populations. The model represents several important features of the dynamical interplay between the drift wave and zonal flow turbulence in magnetically confined plasmas, and a novel interpretation of the coupled dynamics of drift wave-zonal flow turbulence using synchronization of stochastic oscillator is discussed.

LA eng

OL 30