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首页> 外文期刊>Journal of applied mathematics and mechanics >A smoothing filter based on an analogue of a Kalman filter for a guaranteed estimation of the state of dynamical systems
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A smoothing filter based on an analogue of a Kalman filter for a guaranteed estimation of the state of dynamical systems

机译:基于卡尔曼滤波器模拟的平滑滤波器,用于保证对动态系统状态的估计

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摘要

The equations of a smoothing filter are obtained based on a filter for the guaranteed estimation of the state of dynamical systems, similar to the classical Kalman filter. Particular attention is paid to the link between the probabilistic approach to the processing of inexact measurements of the phase vector of dynamical systems with uncertainties and the method of ellipsoids. The procedure for applying the relations obtained is demonstrated using a simple mechanical system as an example. (C) 2016 Elsevier Ltd. All rights reserved.
机译:类似于经典卡尔曼滤波器,基于用于保证动力学系统状态的保证估计的滤波器来获得平滑滤波器的方程。特别要注意的是概率方法和不确定性方法之间的联系,其中概率方法用于处理具有不确定性的动力系统的相位矢量的不精确测量。以简单的机械系统为例说明应用获得的关系的过程。 (C)2016 Elsevier Ltd.保留所有权利。

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