三、四次最优多项式滤波器及其在汽车系统中的应用

Proceedings of the 2001 IEEE International Conference on Control Applications (CCA'01) (Cat. No.01CH37204) Pub Date : 2001-09-05 DOI:10.1109/CCA.2001.973979

M. Basin, M. García

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引用次数: 3

摘要

本文给出了由3次或4次多项式方程给出的随机系统状态和与高斯白噪声混淆的线性观测值的最优非线性滤波器。将所得滤波方程应用于求解非线性汽车系统的状态估计问题。将本文给出的最优多项式滤波器与线性卡尔曼-布西滤波器应用于线性化系统的仿真结果进行了比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Optimal polynomial filter of degrees 3 and 4 and its application to an automotive system

This paper presents the optimal nonlinear filter for a stochastic system state given by a polynomial equation of degree 3 or 4 and linear observations confused with white Gaussian noises. The obtained filtering equations are applied to solution of the state estimation problem for a nonlinear automotive system. Simulation results are compared for the optimal polynomial filter given in this paper and the linear Kalman-Bucy filter applied to the linearized system.

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Proceedings of the 2001 IEEE International Conference on Control Applications (CCA'01) (Cat. No.01CH37204)

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