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A Stochastic Online Sensor Scheduler for Remote State Estimation With Time-Out Condition
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-9940-5929
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
Abstract [en]

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.
Keyword [en]
Generalized geometric programming (GGP), networked control systems (NCSs)
National Category
Control Engineering
URN: urn:nbn:se:kth:diva-157603DOI: 10.1109/TAC.2014.2322153ISI: 000344482500032ScopusID: 2-s2.0-84908424302OAI: diva2:771251
Swedish Research CouncilKnut and Alice Wallenberg Foundation

QC 20141212

Available from: 2014-12-12 Created: 2014-12-11 Last updated: 2014-12-12Bibliographically approved

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Johansson, Karl Henrik
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