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Development and Analysis of Robust Algorithms for Guaranteed Ellipsoidal Estimation of the State of Multidimensioanl Linear Discrete Dynamic Systems. Part 1

机译:多维线性离散动力系统状态的保证椭球估计的鲁棒算法的开发和分析。第1部分

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摘要

A new class of the algorithms is proposed for ellipsoidal estimation of the state of dynamic ojbects, whose output vectors are measured with additive noise. Noise vector components are supposed to be module bounded by the given constants. Unlike the known algorithms the proposed ones are robust (insensitive) to failure of a priori information about characteristics of uncertainties in object models.
机译:提出了一种新型的椭圆算法来估计动态对象的状态,该对象的输出矢量是用加性噪声测量的。噪声矢量分量应该由给定常数限制。与已知算法不同,所提出的算法对于关于对象模型中不确定性特征的先验信息的失败具有鲁棒性(不敏感)。

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