基于协方差的unscented变换不确定性分析

A. Savin, V. G. Guba, Benjamin D. Maxson
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引用次数: 13

摘要

应用unscented变换(UT)和高阶unscented变换(HOUT)进行不确定性分析。利用一组离散采样点可以用来计算均值和协方差的原理,我们可以分析非线性系统,而不需要线性化步骤,也不需要定义雅可比矩阵。给出了一个重要的例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Covariance based uncertainty analysis with unscented transformation
Application of the unscented transformation (UT) and higher order unscented transformation (HOUT) are considered for uncertainty analysis. Using the principle that a set of discretely sampled points can be used to calculate mean and covariance, we can analyze nonlinear systems without the linearization steps and without defining the Jacobian matrix. An important example is presented.
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