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论文摘要

相关噪声驱动下一种特殊非对称非线性系统的随机共振研究

Stochastic Resonance in a special type of Asymmetric Nonlinear System Driven by Correlated Noise

作者:范泽宁(四川大学数学学院);李鹏飞(四川大学数学学院);陶原野(平安银行股份有限公司博士后工作站);唐一弓(四川大学生命科学学院);邓科(四川大学数学学院)

Author:FAN Ze-Ning(College of Mathematics, Sichuan University);LI Peng-Fei(College of Mathematics, Sichuan University);TAO Yuan-Ye(Ping An Bank Co., Ltd.);TANG Yi-Gong(College of Life Sciences, Sichuan University);DENG Ke(College of Mathematics, Sichuan University)

收稿日期:2019-04-23          年卷(期)页码:2020,57(5):-

期刊名称:四川大学学报: 自然科学版

Journal Name:Journal of Sichuan University (Natural Science Edition)

关键字:随机共振;非对称双稳系统;福克-普朗克方程;稳态概率分布;信噪比

Key words:Stochastic resonance; Asymmetric bistable system; Fokker-Planck equation; Stationary probability distribution; Signal-to-noise ratio

基金项目:其它

中文摘要

本文分析了在乘性非高斯噪声与加性高斯噪声驱动下的一种特殊非对称双稳系统的随机共振现象. 我们使用统一色噪声逼近、路径积分法、二态模型理论对本文郎之万方程进行马尔科夫逼近,从而得到系统的稳态概率分布与信噪比. 仿真结果得知,非高斯噪声与高斯噪声强度驱动下的信噪比均存在随机共振,且非高斯噪声偏差参数、噪声相关时间、非对称系数、互相关强度等参数均对其有影响. 本文分别讨论了非高斯噪声偏差参数,非高斯噪声的相关时间,互相关强度,周期信号幅度和非对称系数等参数对信噪比的影响.

英文摘要

We have analyzed the phenomenon of stochastic resonance in an asymmetric bistable system driven by multiplicative non-Gaussian noise and additive Gaussian noise. Using a path-integral approach, together with the unified colored noise approximation and two-state model theory, we have obtained a consistent Markovian approximation, which enables us to get the analytical expressions for the stationary probability distribution and the signal-to-noise ratio. Under the influence of non-Gaussian noise deviation parameter, noise correlation time, asymmetric coefficient and mutual correlation strength, there are stochastic resonance on signal-to-noise ratio as non-Gaussian noise intensity and Gaussian noise intensity. Besides, the influence of different parameters on signal-to-noise ratio is discussed respectively, including non-Gaussian noise deviation parameter, correlation times of the non-Gaussian noise, cross-correlation strengths, amplitudes of periodic signal, and asymmetric coefficient.

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