Experts has a new look! Let us know what you think of the updates.

Provide feedback
Home
Scholarly Works
Kalman and smooth variable structure filters for...
Journal article

Kalman and smooth variable structure filters for robust estimation

Abstract

The extended Kalman filter (EKF) and the unscented Kalman filter (UKF) are among the most popular estimation methods. The smooth variable structure filter (SVSF) is a relatively new sliding mode estimator. In an effort to use the accuracy of the EKF and the UKF and the robustness of the SVSF, the filters have been combined, resulting in two new estimation strategies, called the EK-SVSF and the UK-SVSF, respectively. The algorithms were …

Authors

Gadsden SA; Habibi S; Kirubarajan T

Journal

IEEE Transactions on Aerospace and Electronic Systems, Vol. 50, No. 2, pp. 1038–1050

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

DOI

10.1109/taes.2014.110768

ISSN

0018-9251