State estimation under uncertainty: A survey


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 entry:

@techreport{LenBab:06-004,
author={{\relax Zs}. Lendek and R. Babu{\v{s}}ka and B. {D}e Schutter},
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}
}


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