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System identification from non-linear stochastic response

机译:非线性随机响应的系统识别

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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:呈现非参数法,用于振荡器的非线性刚度和振荡器的阻尼特性,具有白噪声估计。刚度估计基于平均值通过的动能的局部比较,以及在以下响应最大值处的弹性能量。该方法的关键特征是一种迭代过程,其中通过分组数据和形成平均值来逐渐改进弹性能量电位的估计,同时逐渐消除统计偏压。使用概率密度函数的普通表达,作为平均水平交叉处的kientic能量的函数,有效阻尼是istiamted。

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