发表机构
Institute of Physics, Saratov State University（萨马拉国立大学物理研究所）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文以耦合过阻尼双稳振子集合为研究对象，通过数值模拟两种自适应耦合模型，证明自适应耦合是可调控随机共振的灵活工具，可增强或抑制随机共振并调整最优噪声强度。
AI 中文摘要
本文以耦合过阻尼双稳振子集合中的随机共振为例，展示了自适应耦合在控制由噪声诱导的集体动力学中的作用。具体而言，研究发现调整自适应耦合参数可增强或抑制随机共振，并能改变产生最规则随机振荡的最优噪声强度。所有揭示的效应均通过两种自适应耦合模型的数值模拟进行研究：第一种是简化的现象学模型，其设计为当振子动力学变量差异越大时耦合越强（考虑了两种局部相互作用构型和一种全局耦合选项）；第二种是局部忆阻耦合模型，它提供了具有相似特性的自适应相互作用的物理实现。在所有考虑的情况中，无论是否存在静态耦合分量，自适应耦合均被证明是一种灵活的随机共振控制工具。
英文摘要
The role of adaptive coupling in controlling collective noise-induced dynamics is demonstrated on an example of stochastic resonance in an ensemble of coupled overdamped bistable oscillators. Specifically, it is found that tuning the adaptive coupling parameters allows one to either enhance or suppress stochastic resonance and to shift the optimal noise intensity that yields the most regular stochastic oscillations. All the revealed effects are studied in numerical simulations for two kinds of adaptive coupling models. The first one is a simplified, phenomenological model designed such that the coupling becomes stronger for oscillators with larger differences between their dynamical variables (two configurations for local interaction and one option for global coupling are under consideration). The second one is a local memristive coupling model that provides a physically motivated realization of adaptive interactions with similar properties. In all the considered cases, adaptive coupling is shown to be a flexible stochastic resonance control tool, both in the absence and in the presence of the static coupling component.
Comments15 pages, 8 figures
