A Stochastic Online Sensor Scheduler for Remote State Estimation With Time-Out Condition
2014 (English)In: IEEE Transactions on Automatic Control, ISSN 0018-9286, E-ISSN 1558-2523, Vol. 59, no 11, 3110-3116 p.Article in journal (Refereed) Published
This technical note considers remote state estimation subject to limited sensor-estimator communication rate. We propose a stochastic online sensor scheduler for remote state estimation with time-out condition. The decision rule under which the sensor sends data is based on its measurements and a finite-state holding time between the present and the most recent sensor-to-estimator communication instance. This decision process is formulated as an optimization problem, relaxed and solved using generalized geometric programming optimization techniques with a low computational complexity. Moreover, the proposed scheduler is easy to execute, and provides a guaranteed performance which is shown to outperform the optimal offline scheduler. Numerical examples are provided to illustrate the proposed scheduler.
Place, publisher, year, edition, pages
2014. Vol. 59, no 11, 3110-3116 p.
Generalized geometric programming (GGP), networked control systems (NCSs)
IdentifiersURN: urn:nbn:se:kth:diva-157603DOI: 10.1109/TAC.2014.2322153ISI: 000344482500032ScopusID: 2-s2.0-84908424302OAI: oai:DiVA.org:kth-157603DiVA: diva2:771251
FunderSwedish Research CouncilKnut and Alice Wallenberg Foundation
QC 201412122014-12-122014-12-112014-12-12Bibliographically approved