Approximate Analysis of Nonlinear Systems Driven by Gaussian White Noise

Dingyu Xue, D. Atherton
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Abstract

In this paper an approximate analysis approach for high order nonlinear systems driven by Gaussian white noise is presented. The algorithm is based on the exact solution to the Fokker-Planck equation of a second order system and as optimal model reduction technique. An illustrative example is given to show the appication of this approximate approach from which it can be seen that the accuracy of the method is better than that of the random describing function method.
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高斯白噪声驱动非线性系统的近似分析
本文提出了高斯白噪声驱动的高阶非线性系统的近似分析方法。该算法以二阶系统Fokker-Planck方程的精确解为基础,作为最优模型约简技术。通过实例说明了这种近似方法的应用,结果表明,该方法的精度优于随机描述函数法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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