Sensor fusion based on fuzzy Kalman filter

被引：16

作者：

Sasiadek, JZ

Khe, J

机构：

来源：

ROMOCO'01: PROCEEDINGS OF THE SECOND INTERNATIONAL WORKSHOP ON ROBOT MOTION AND CONTROL | 2001年

关键词：

Kalman filter; fuzzy logic control; fuzzy Kalman filter;

D O I：

10.1109/ROMOCO.2001.973467

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we present a fuzzy Kalman filter, which is based on fuzzy logic theory and Kalman filter. It is similar to Kalman filter when a linear system with Gaussian noise is considered. However, when non. Gaussian noise is introduced, it is shown that fuzzy Kalman filter is outperforming Kalman filter, while Kalman filter does not work well. We demonstrate the performances of Kalman filter and fuzzy Kalman filter for position estimation application under different kinds of circumstances. The comparisons are made to draw conclusions.

引用

页码：275 / 283

页数：9