Title :
Robust state estimation for uncertain systems
Author :
Petersen, J.R. ; McFarlane, Duncan C.
Author_Institution :
Dept. of Electr. Eng., Australian Defence Force Acad., Campbell, Tas., Australia
Abstract :
The problem of determining optimal state estimates in the face of plant uncertainties is investigated. An optimal guaranteed-cost state estimator that is easy to construct and requires a minimum of a priori assumptions is presented. The motivation for this work was the need for a robust procedure for state estimation for a Kalman-filter-based bar tension prediction system at a bar rolling mill
Keywords :
optimisation; state estimation; Kalman-filter-based bar tension prediction system; bar rolling mill; optimal guaranteed-cost state estimator; robust state estimation; uncertain systems; Australia; Filtering; Force measurement; Milling machines; Noise measurement; Robustness; Signal processing; State estimation; Uncertain systems; Uncertainty; White noise;
Conference_Titel :
Decision and Control, 1991., Proceedings of the 30th IEEE Conference on
Conference_Location :
Brighton
Print_ISBN :
0-7803-0450-0
DOI :
10.1109/CDC.1991.261827
