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System identification from non-linear stochastic response

机译:基于非线性随机响应的系统辨识

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A non-parametric method is presented for estiamtion of non-linear stiffness and damping properties of an oscillator with white noise exictation. The stiffness estimation is based on a local comparison of the kinetic energy at the passage of the mean value, and the elastic energy at the following response maximum. The key feature of the method is an iterative procedure, in which an estimate of the elastic energy potential is gradually refined, by grouping the data and forming averages, while gradually eliminating the statistical bias. The effective damping is estiamted as a function of the kientic energy at mean level crossings, using the generic expression for the probability density function.
机译:提出了一种非参数方法,用于估计具有白噪声激励的振荡器的非线性刚度和阻尼特性。刚度估算是基于平均值通过时的动能和随后最大响应时的弹性能的局部比较。该方法的主要特征是一个迭代过程,其中通过对数据进行分组并形成平均值,逐渐完善对弹性能势的估计,同时逐渐消除统计偏差。使用概率密度函数的通用表达式,根据平均平交处的动能来估计有效阻尼。

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