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首页> 外文期刊>Journal of Systems Science and Complexity >ROBUST KALMAN FILTERING FOR SYSTEMS UNDER NORM BOUNDED UNCERTAINTIES IN ALL SYSTEM MATRICES AND ERROR COVARIANCE CONSTRAINTS
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ROBUST KALMAN FILTERING FOR SYSTEMS UNDER NORM BOUNDED UNCERTAINTIES IN ALL SYSTEM MATRICES AND ERROR COVARIANCE CONSTRAINTS

机译:在所有系统矩阵中具有NORM有界不确定性的系统的鲁棒卡尔曼滤波,并且误差协方差受约束

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摘要

This paper concerns robust Kalman filtering for systems under norm bounded uncertainties in all the system matrices and error covariance constraints. Sufficient conditions are given for the existence of such filters in terms of Riccati equations. The solutions to the conditions can be used to design the filters. Finally, an illustrative example is given to demonstrate the effectiveness of the proposed design procedure.
机译:本文涉及在所有系统矩阵和误差协方差约束下具有范数界不确定性的系统的鲁棒卡尔曼滤波。就Riccati方程而言,给出了此类滤波器存在的充分条件。条件的解决方案可用于设计过滤器。最后,给出了一个说明性的例子来证明所提出的设计程序的有效性。

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