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Estimation of Parameters in Linear Multidimensional Systems under Interval Uncertainty

机译:区间不确定性下的线性多维系统参数估计

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摘要

We suggested the method for construction of estimations of parameters in linear multidimensional systems with interval uncertainty in data. Together with additive component because of measuring errors we suggest in the model multiplicative matrix uncertainty, which makes it possible to consider wider class of objects with uncertain structure. For these models external interval approximations of nonconvex information sets are constructed. Method of their construction is based on solving interval systems of linear algebraic equations and promotes construction of parametric estimates for static models with large number of measurements.
机译:我们提出了一种在数据具有区间不确定性的线性多维系统中构造参数估计的方法。由于存在测量误差,我们建议与可加成分一起在模型中使用乘法矩阵不确定性,这使得可以考虑具有不确定结构的更大类别的对象。对于这些模型,构造了非凸信息集的外部区间近似。它们的构造方法基于求解线性代数方程的区间系统,并促进了具有大量测量的静态模型的参数估计的构造。

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