一类广义系统的故障估计——一种自适应鲁棒扩展卡尔曼滤波方法

2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE) Pub Date : 2020-12-01 DOI:10.1109/ICMCCE51767.2020.00279

Liang Kexin, Li Tiantian

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引用次数: 0

摘要

针对一类系统噪声未知的非线性广义系统，提出了一种自适应鲁棒扩展Klaman滤波器。首先，给出了一个鲁棒界，以减小线性化误差对估计精度的影响;引入自适应算法实现对噪声的无偏估计;最后通过一个算例说明了该方法的有效性。

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Fault Estimation for A Class of Descriptor Systems - An Adaptive Robust Extended Kalman Filter Approach

This paper proposes an adaptive Robust Extended Klaman filter for a class of non-linear descriptor systems with unknown system noise. Firstly, a robust bound is given to decrease the influence of the linearization error on the estimation accuracy; an adaptive algorithm is introduced to implement an unbiased estimation of the noise, then; an numeral example is given to show the effectiveness of the method at last.

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2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)

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