English

Amplitude death and synchronized states in nonlinear time-delay systems coupled through mean-field diffusion

Chaotic Dynamics 2014-05-16 v2

Abstract

We explore and experimentally demonstrate the phenomena of amplitude death (AD) and the corresponding transitions through synchronized states that lead to AD in coupled {\it intrinsic time-delayed} hyperchaotic oscillators interacting through mean-field diffusion. We identify a novel synchronization transition scenario leading to AD, namely transitions among AD, generalized anticipatory synchronization (GAS), complete synchronization (CS), and generalized lag synchronization (GLS). This transition is mediated by variation of the difference of {\it intrinsic time-delays} associated with the individual systems, and has no analogue in non-delayed systems or coupled oscillators with {\it coupling time-delay}. We further show that, for equal intrinsic time-delays, increasing coupling strength results in a transition from the unsynchronized state to AD state via in-phase (complete) synchronized states. Using Krasovskii--Lyapunov theory, we derive the stability conditions that predict the parametric region of occurrence of GAS, GLS, and CS; also, using a linear stability analysis we derive the condition of occurrence of AD. We use the error function of proper synchronization manifold and a modified form of the similarity function to provide the quantitative support to GLS and GAS. We demonstrate all the scenarios in an electronic circuit experiment; the experimental time-series, phase-plane plots, and generalized autocorrelation function computed from the experimental time series data are used to confirm the occurrence of all the phenomena in the coupled oscillators.

Keywords

Cite

@article{arxiv.1305.0150,
  title  = {Amplitude death and synchronized states in nonlinear time-delay systems coupled through mean-field diffusion},
  author = {Tanmoy Banerjee and Debabrata Biswas},
  journal= {arXiv preprint arXiv:1305.0150},
  year   = {2014}
}

Comments

13 Figures; Final version accepted in CHAOS:An Interdisciplinary Journal of Nonlinear Science (AIP)

R2 v1 2026-06-22T00:09:32.128Z