A smooth variable structure filter for state estimation

Authors:
Shu Wang;Saeid Habibi;Richard Burton
Affiliations:
College of Engineering, University of Saskatchewan, Saskatoon, SK, Canada;College of Engineering, University of Saskatchewan, Saskatoon, SK, Canada;College of Engineering, University of Saskatchewan, Saskatoon, SK, Canada
Venue:
MIC'06 Proceedings of the 25th IASTED international conference on Modeling, indentification, and control
Year:
2006

Citing 2
Cited 0

Kalman filtering: theory and practice

Kalman filtering: theory and practice
Control Systems Engineering

Control Systems Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

A new method of filtering strategy, referred to as the Smooth Variable Structure Filter (SVSF) is reviewed and applied to the problem of state estimation. The reaching stability of the SVSF (closely related to that of Variable Structure Control (VSC)), is verified by a mathematical proof. The mathematical foundation behind, and the methodology of SVSF are presented. The robustness of SVSF to system noise, measured noise and parameter variations is verified by a numerical example.