In this paper, we have considered distributed bounded-error state estimation applied to the problem of source tracking with a network of wireless sensors. Estimation is performed in a distributed context, emph{i.e.}, each sensor has only a limited amount of measurements available. A guaranteed set estimator is put at work. At each time instant, any sensor of the node has its own set estimate of the location of the source.
@InProceedings{kieffer:DagSemProc.08021.9, author = {Kieffer, Michel}, title = {{Distributed parameter and state estimation in a network of sensors}}, booktitle = {Numerical Validation in Current Hardware Architectures}, pages = {1--14}, series = {Dagstuhl Seminar Proceedings (DagSemProc)}, ISSN = {1862-4405}, year = {2008}, volume = {8021}, editor = {Annie Cuyt and Walter Kr\"{a}mer and Wolfram Luther and Peter Markstein}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08021.9}, URN = {urn:nbn:de:0030-drops-14440}, doi = {10.4230/DagSemProc.08021.9}, annote = {Keywords: Parameter estimation, state estimation, bounded errors, nonlinear estimation} }
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