| Título |
Periodicity of Kalman-based scheduled filters |
| Autores |
ORIHUELA ESPINA, DIEGO LUIS, Barreiro, Antonio , GÓMEZ-ESTERN AGUILAR, FABIO, Rubio, Francisco R. |
| Publicación externa |
No |
| Medio |
Automatica |
| Alcance |
Article |
| Naturaleza |
Científica |
| Cuartil JCR |
1 |
| Cuartil SJR |
1 |
| Impacto JCR |
3.02 |
| Impacto SJR |
3.228 |
| Web |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908139355&doi=10.1016%2fj.automatica.2014.08.034&partnerID=40&md5=f5380fb43008507543ef09deb139e331 |
| Fecha de publicacion |
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. |
| Palabras clave |
Sensor scheduling; Kalman filter; Periodic observers |
| Miembros de la Universidad Loyola |
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