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首页> 外文期刊>Physica Scripta: An International Journal for Experimental and Theoretical Physics >Stochastic resonance and stability for a stochastic metapopulation system subjected to non-Gaussian noise and multiplicative periodic signal
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Stochastic resonance and stability for a stochastic metapopulation system subjected to non-Gaussian noise and multiplicative periodic signal

机译:非高斯噪声和乘性周期信号作用下的随机种群系统的随机共振和稳定性

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摘要

In this paper, the stability and stochastic resonance (SR) phenomenon induced by the multiplicative periodic signal for a metapopulation system driven by the additive Gaussian noise, multiplicative non-Gaussian noise and noise correlation time is investigated. By using the fast descent method, unified colored noise approximation and McNamara and Wiesenfeld's SR theory, the analytical expressions of the stationary probability distribution function and signal-to-noise ratio (SNR) are derived in the adiabatic limit. Via numerical calculations, each effect of the addictive noise intensity, the multiplicative noise intensity and the correlation time upon the steady state probability distribution function and the SNR is discussed, respectively. It is shown that multiplicative, additive noises and the departure parameter from the Gaussian noise can all destroy the stability of the population system. However, the noise correlation time can consolidate the stability of the system. On the other hand, the correlation time always plays an important role in motivating the SR and enhancing the SNR. Under different parameter conditions of the system, the multiplicative, additive noises and the departure parameter can not only excite SR phenomenon, but also restrain the SR phenomenon, which demonstrates the complexity of different noises upon the nonlinear system.
机译:本文研究了由加性高斯噪声,乘性非高斯噪声和噪声相关时间驱动的一类种群系统的乘性周期信号引起的稳定性和随机共振(SR)现象。通过使用快速下降法,统一的有色噪声逼近以及McNamara和Wiesenfeld的SR理论,在绝热极限中推导了平稳概率分布函数和信噪比(SNR)的解析表达式。通过数值计算,分别讨论了成瘾噪声强度,乘性噪声强度和相关时间对稳态概率分布函数和SNR的影响。结果表明,乘性,加性噪声和高斯噪声的偏离参数都可能破坏种群系统的稳定性。但是,噪声相关时间可以巩固系统的稳定性。另一方面,相关时间始终在激励SR和增强SNR中起着重要作用。在系统的不同参数条件下,乘性,相加噪声和偏离参数不仅可以激发SR现象,而且可以抑制SR现象,这说明了非线性系统上不同噪声的复杂性。

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