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Constructing transient response probability density of non-linear system through complex fractional moments

机译:通过复分数矩构造非线性系统的瞬态响应概率密度

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摘要

The probability density function for transient response of non-linear stochastic system is investigated through the stochastic averaging and Mellin transform. The stochastic averaging based on the generalized harmonic functions is adopted to reduce the system dimension and derive the one-dimensional Ito stochastic differential equation with respect to amplitude response. To solve the Fokker-Plank-Kolmogorov equation governing the amplitude response probability density, the Mellin transform is first implemented to obtain the differential relation of complex fractional moments. Combining the expansion form of transient probability density with respect to complex fractional moments and the differential relations at different transform parameters yields a set of closed-form first-order ordinary differential equations. The complex fractional moments which are determined by the solution of the above equations can be used to directly construct the probability density function of system response. Numerical results for a van der Pol oscillator subject to stochastically external and parametric excitations are given to illustrate the application, the convergence and the precision of the proposed procedure.
机译:通过随机平均和梅林变换研究了非线性随机系统瞬态响应的概率密度函数。采用基于广义谐波函数的随机平均来减小系统尺寸并推导一维关于振幅响应的Ito随机微分方程。为了求解控制振幅响应概率密度的Fokker-Plank-Kolmogorov方程,首先执行Mellin变换以获得复分数矩的微分关系。将瞬态概率密度相对于复数分数矩的展开形式与不同变换参数下的微分关系相结合,得出了一组封闭形式的一阶常微分方程。由上述方程式解确定的复分数矩可用于直接构建系统响应的概率密度函数。给出了范德波尔振荡器受到随机外部和参数激励的数值结果,以说明所提出程序的应用,收敛性和精度。

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