arXiv subjects

G. V. Osipov

Publications and source records attributed to G. V. Osipov.

23 records · Page 2Linked to original sources

arXiv2017

Coexisting synchronous and asynchronous states in locally coupled array of oscillators by partial self-feedback control

We report the emergence of coexisting synchronous and asynchronous subpopulations of oscillators in one dimensional arrays of identical oscillators by applying a self-feedback control. When a self-feedback is applied to a subpopulation of the array, similar to chimera states, it splits into two/more sub-subpopulations coexisting in coherent and incoherent states for a range of self-feedback strength. By tuning the coupling between the nearest neighbors and the amount of self-feedback in the perturbed subpopulation, the size of the coherent and the incoherent sub-subpopulations in the array can be controlled, although the exact size of them is unpredictable. We present numerical evidence using the Landau-Stuart (LS) system and the Kuramoto-Sakaguchi (KS) phase model.

nlin.CD↗

arXiv2016

Chimera patterns in the Kuramoto-Battogtokh model

Kuramoto and Battogtokh [Nonlinear Phenom. Complex Syst. 5, 380 (2002)] discovered chimera states represented by stable coexisting synchrony and asynchrony domains in a lattice of coupled oscillators. After reformulation in terms of local order parameter, the problem can be reduced to partial differential equations. We find uniformly rotating periodic in space chimera patterns as solutions of a reversible ordinary differential equation, and demonstrate a plethora of such states. In the limit of neutral coupling they reduce to analytical solutions in form of one- and two-point chimera patterns as well as localized chimera solitons. Patterns at weakly attracting coupling are characterized by virtue of a perturbative approach. Stability analysis reveals that only simplest chimeras with one synchronous region are stable.

nlin.PS↗

arXiv2015

Marginal chimera state at cross-frequency locking of pulse-coupled neural networks

We consider two coupled populations of leaky integrate-and-fire neurons. Depending on the coupling strength, mean fields generated by these populations can have incommensurate frequencies, or become frequency locked. In the observed 2:1 locking state of the mean fields, individual neurons in one population are asynchronous with the mean fields, while in another populations they have the same frequency as the mean field. These synchronous neurons form a chimera state, where part of them build a fully synchronized cluster, while other remain scattered. We explain this chimera as a marginal one, caused by a self-organized neutral dynamics of the effective circle map.

nlin.AO↗

arXiv2014

Localization in active incommensurate arrays

In a dissipationless linear lattice, spatial disorder or incommensurate modulation induce localization of the lattice eigenstates and block spreading of wave packets. Additionally, incommensurate arrays allow for the metal-insulator transition at a finite modulation amplitude already in one dimension. The addition of nonlinearity to the lattice Hamiltonian causes interaction between the eigenstates, which results in a slow packet spreading. We go beyond the dissipationless limit and consider nonlinear quasi-periodic arrays that are subjected to the dissipative losses and energy pumping. We find that there is a finite excitation of oscillations threshold in both metallic and insulating regimes. Moreover, excitation in the metallic and weakly insulating regime displays features of the second order phase transition to global oscillations, in contrast to disordered arrays. The Anderson attractor regime is recovered only in the limit of strong localization. The identified transition, and the further onset of chaos and synchronization can be potentially realized with polariton condensates lattices and cavity-QED arrays.

nlin.CD↗

arXiv2013

Coherence properties of cycling chaos

Cycling chaos is a heteroclinic connection between several chaotic attractors, at which switching between the chaotic sets occur at growing time intervals. Here we characterize the coherence properties of these switchings, considering nearly periodic regimes that appear close to the cycling chaos due to imperfections or to instability. Using numerical simulations of coupled Lorenz, Roessler, and logistic map models, we show that the coherence is high in the case of imperfection (so that asymptotically the cycling chaos is very regular), while it is low close to instability of the cycling chaos.

nlin.CD↗