1999
DOI: 10.1063/1.166394
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Role of multistability in the transition to chaotic phase synchronization

Abstract: In this paper we describe the transition to phase synchronization for systems of coupled nonlinear oscillators that individually follow the Feigenbaum route to chaos. A nested structure of phase synchronized regions of different attractor families is observed. With this structure, the transition to nonsynchronous behavior is determined by the loss of stability for the most stable synchronous mode. It is shown that the appearance of hyperchaos and the transition from lag synchronization to phase synchronization… Show more

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Cited by 59 publications
(23 citation statements)
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“…We consider here only two families having the largest basins of attraction, namely, ''in-phase'' and ''out-of-phase'' attractors [8]. In the first case the phase difference of x 1 ðtÞ and x 2 ðtÞ vanishes for x 1 ¼ x 2 (the corresponding periodic regimes are labeled as 2 i C 0 , where i ¼ 1; 2; 3; .…”
Section: Modelmentioning
confidence: 99%
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“…We consider here only two families having the largest basins of attraction, namely, ''in-phase'' and ''out-of-phase'' attractors [8]. In the first case the phase difference of x 1 ðtÞ and x 2 ðtÞ vanishes for x 1 ¼ x 2 (the corresponding periodic regimes are labeled as 2 i C 0 , where i ¼ 1; 2; 3; .…”
Section: Modelmentioning
confidence: 99%
“…1), a band-merging bifurcation of the chaotic attractors CA 0 and CA 1 leads to the appearance of a new regime CA R . The attractor CA R contains the trajectories of CA 0 and CA 1 and has two positive Lyapunov exponents [8]. Therefore, hyperchaotic oscillations takes place.…”
Section: Direction B: Transition From Chaos To Hyperchaosmentioning
confidence: 99%
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“…Along with changes in the variation of the average frequency, the transition between phase-locked and un-locked chaos is also reÀected in a speci¿c variation of the Lyapunov exponents, in characteristic changes of the spectrum of the forced chaotic oscillator, and through changes in the size and form of its Poincaré section [14,15]. It is generally known that the edge of the synchronization domain is made up by a dense set of saddle-node bifurcations [6,13,16,17].…”
Section: Introductionmentioning
confidence: 99%