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A practical approach to the stability analysis of stochastic systems subject to nth powers of white noises

机译:受n次方白噪声影响的随机系统稳定性分析的实用方法

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Inmany systems of practical interest, for instance in modelling via linearization tech- niques, one is led to increase the accuracy of the analysis by using stochastic differential equations with inputs in the form of squared Gaussian white noises, or more generally in the form of powers of Gaussian white noises. The problem is then to define the solution of this kind of equation, and one Shows how this can be made in a framework of engineering mathematics. An Ito lemma is obtained And a Fokker-Planck equation is derived. In two illustrative examples, this model is applied to the Analysis of stochastic systems via Liapunov functions, and it is shown how one can obtain a new Statistical approach to the analysis of some stochastic linear feedback systems involving white noises.
机译:许多实用的系统,例如通过线性化技术进行建模的系统,都可以通过使用随机微分方程来提高分析的准确性,这些方程的输入为平方高斯白噪声的形式,或更一般地为幂的形式高斯白噪声。然后的问题是定义这种方程的解,并说明如何在工程数学的框架内进行求解。得到一个伊藤引理,并推导出一个Fokker-Planck方程。在两个说明性示例中,此模型通过Liapunov函数应用于随机系统分析,并说明了如何获得一种新的统计方法来分析某些涉及白噪声的随机线性反馈系统。

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