State estimation under uncertainty: A survey

Reference:
Zs. Lendek, R. Babuska, and B. De Schutter, "State estimation under uncertainty: A survey," Tech. rep. 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.

Downloads:

Technical report: pdf file (464 KB)
Note: More information on the pdf file format mentioned above can be found here.

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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