非高斯噪声作用的非对称双稳耦合网络的随机共振OA
Stochastic resonance in asymmetric bistable coupled network subjected to non-Gaussian noise
本文研究了非高斯噪声和周期信号共同作用的非对称双稳耦合网络的随机共振.该网络可被建模为一个由N个耦合振荡器相互连接而成的系统,其中振荡器间的相互作用引起系统的随机共振.运用平均场理论,本文先对系统进行降维简化处理,然后利用路径积分法、等效非线性近似及高斯近似方法推导了简化系统的Langevin方程,最后基于双态模型理论得到了系统的信噪比.本文分析了非高斯噪声、耦合系数、信号和系统的非对称性对随机共振的影响.结果显示:i)随各参数变化,SNR曲线均出现非单调行为,说明各参数都能引起随机共振;ii)对非高斯噪声,增大其非高斯性、强度或关联时间均可增强随机共振;iii)随耦合系数的增加,随机共振先增后减,因而耦合系数可被用于调控随机共振强度.
In this paper,stochastic resonance in an N-dimensional asymmetric bistable coupled network sys-tem subjected to both harmonic signal and non-Gaussian noise is considered by using signal-to-noise ratio(SNR)as the measure.First,a simplified low-dimensional model for the coupled system is deduced based on the mean field theory.Second,the Langevin equation of the simplified model is obtained by using the path in-tegral method,the equivalent nonlinearization method,Gaussian approximation and the slaving principle.Ex-act expression of SNR is deduced by using the Fokker-Planck equation based on the two-state model theory.Finally,the SNR measure is adopted to investigate the effects of non-Gaussian noise,coupling constant,asymmetric constant and periodic signal on the stochastic resonance.The main results are as follow.i)There exists non-monotonous behavior in every SNR curve for system parameter,which indicates the occurrence of stochastic resonance;ii)Stochastic resonance is enhanced with the increase of non-Gaussian parameter,cor-relation time or intensity of the non-Gaussian noise.iii)The coupling constant can maximize the stochastic resonance.
李凌云;何美娟;兰宇婷
兰州交通大学数理学院,兰州 730070兰州交通大学数理学院,兰州 730070兰州交通大学数理学院,兰州 730070
数理科学
信噪比非高斯噪声非对称耦合网络系统随机共振
SNRnon-Gaussian noiseasymmetric bistable coupled network systemstochastic resonance
《四川大学学报(自然科学版)》 2026 (4)
843-850,8
国家自然科学基金(11602184)甘肃省科技计划项目(24JRRA226)甘肃省基础研究创新群体项目(25JRRA805)兰州市科技局青年科技人才创新项目(2024-QN-179)兰州交通大学"天佑青年托举人才计划"基金
评论