Reference
Zs. Lendek, R. Babuška, and B. De Schutter, "State estimation under
uncertainty: A survey," Tech. report 06-004, Delft Center for Systems and
Control, Delft University of Technology, Delft, The Netherlands, 65 pp., Feb.
2006.
Abstract
This report gives an overview of the state-of-the-art in state estimation under
uncertainty. More specifically, we discuss two probabilistic state estimation
methods: Kalman filters and particle filters, and several types of fuzzy and
neural observers.
BibTeX
@techreport{LenBab:06-004,
author = {Lendek, {\relax Zs}{\'{o}}fia and Babu{\v{s}}ka, Robert and
De Schutter, Bart},
title = {State Estimation Under Uncertainty: {A} Survey},
number = {06-004},
institution = {Delft Center for Systems and Control, Delft University of
Technology},
address = {Delft, The Netherlands},
month = feb,
year = {2006}
}