论文标题
基于多路复用的随机共振控制
Multiplexing-based control of stochastic resonance
论文作者
论文摘要
我们表明，多路复用允许在随机共振制度中控制多层网络的噪声诱导的动力学。我们在双层振荡器的两层和多层网络的示例上说明了这种效果。特别是，如果仅在一层中存在周期性强迫，我们证明多路复用会抑制随机共振的效果。相反，如果在所有相互作用的层中都存在周期性强迫和噪声，则多路复用可以增强随机共振。在这种情况下，多路复用的影响具有共振特征：对于随机共振的最明显效果，对于层之间耦合强度的适当中间值而言，可以实现最明显的效果。此外，对于增加耦合层的数量，随机共振的多路复用诱导的增强可能会变得更加明显。为了可视化所揭示的现象，我们使用信噪比对噪声强度的依赖性的演变，用于层之间耦合强度的噪声强度。
We show that multiplexing allows to control noise-induced dynamics of multilayer networks in the regime of stochastic resonance. We illustrate this effect on an example of two- and multi-layer networks of bistable overdamped oscillators. In particular, we demonstrate that multiplexing suppresses the effect of stochastic resonance, if the periodic forcing is present in only one layer. In contrast, the multiplexing allows to enhance the stochastic resonance, if the periodic forcing and noise are present in all the interacting layers. In such a case the impact of multiplexing has a resonant character: the most pronounced effect of stochastic resonance is achieved for an appropriate intermediate value of coupling strength between the layers. Moreover, multiplexing-induced enhancement of the stochastic resonance can become more pronounced for increasing number of coupled layers. To visualize the revealed phenomena, we use the evolution of the dependence of the signal-to-noise ratio on the noise intensity for varying strength of coupling between the layers.
