Title Periodicity of Kalman-based scheduled filters
Authors ORIHUELA ESPINA, DIEGO LUIS, Barreiro, Antonio, GÓMEZ-ESTERN AGUILAR, FABIO, Rubio, Francisco R., ORIHUELA ESPINA, DIEGO LUIS, GÓMEZ-ESTERN AGUILAR, FABIO
External publication No
Means Automatica
Scope Article
Nature Científica
JCR Quartile 1
SJR Quartile 1
JCR Impact 3.02000
SJR Impact 3.22800
Area International
Publication date 01/10/2014
ISI 000344207300027
Scopus Id 2-s2.0-84908139355
DOI 10.1016/j.automatica.2014.08.034
Abstract In this paper, the sensor scheduling problem for estimation is tackled, in which a set of sensors must share a common network to communicate their measurements. It is shown that, under some mild conditions, a Kalman-based scheduled filter results in a periodic selection of the sensors. In those cases, the computational cost and energy consumption can be reduced, as the sensors can await asleep between two consecutive measurements. A suboptimal one-step ahead strategy is thoroughly studied as a possible example of observation scheme. (C) 2014 Elsevier Ltd. All rights reserved.
Keywords Sensor scheduling; Kalman filter; Periodic observers
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