期刊
JOURNAL OF PROCESS CONTROL
卷 18, 期 7-8, 页码 753-768出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jprocont.2007.11.004
关键词
nonlinear state estimation; Kalman filter; constraint handling
Based on presentation of the principles of the EKF and UKF for state estimation, we discuss the differences of the two approaches. Four rather different simulation cases are considered to compare the performance. A simple procedure to include state constraints in the UKF is proposed and tested. The overall impression is that the performance of the UKF is better than the EKF in terms of robustness. and speed of convergence. The computational load in applying the UKF is comparable to the EKF. (c) 2007 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据