| Title | Periodicity of Kalman-based scheduled filters |
|---|---|
| Authors | ORIHUELA ESPINA, DIEGO LUIS, Barreiro, Antonio , GÓMEZ-ESTERN AGUILAR, FABIO, Rubio, Francisco R. |
| External publication | No |
| Means | Automatica |
| Scope | Article |
| Nature | Científica |
| JCR Quartile | 1 |
| SJR Quartile | 1 |
| JCR Impact | 3.02 |
| SJR Impact | 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 |
| 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 |
| Universidad Loyola members |