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Stochastic Averaging of Quasi-Integrable and Resonant Hamiltonian Systems Under Combined Gaussian and Poisson White Noise Excitations

机译:高斯和泊松白噪声联合激励下拟可积和共振哈密顿系统的随机平均

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摘要

A stochastic averaging method for quasi-integrable and resonant Hamiltonian systems subject to combined Gaussian and Poisson white noise excitations is proposed. The case of resonance with α resonant relations is considered. An (n + α)-dimensional averaged Generalized Fokker-Plank-Kolmogorov (GFPK) equation for the transition probability density of n action variables and α combinations of phase angles is derived from the stochastic integrodifferential equations (SIDEs) of original quasi-integrable and resonant Hamiltonian systems by using the jump-diffusion chain rule. The reduced GFPK equation is solved by using finite difference method and the successive over relaxation method to obtain the stationary probability density of the system. An example of two nonlinearly damped oscillators under combined gaussian and Poisson white noise excitations is given to illustrate the proposed method. The good agreement between the analytical results and those from digital simulation shows the validity of the proposed method.
机译:提出了一种在高斯和泊松组合白噪声激励作用下的准可积分和共振哈密顿系统的随机平均方法。考虑具有α谐振关系的谐振的情况。从原始拟可积分和随机积分积分微分方程(SIDE)导出n个作用变量和相角α组合的跃迁概率密度的(n +α)维平均广义Fokker-Plank-Kolmogorov(GFPK)方程跳-扩散链法则使哈密顿系统共振。利用有限差分法和逐次过度松弛法求解简化的GFPK方程,得到系统的平稳概率密度。给出了一个在高斯和泊松组合白噪声激励下的两个非线性阻尼振荡器的例子来说明该方法。分析结果与数字仿真结果吻合良好,证明了该方法的有效性。

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