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On the nonexistence of event-based triggers that preserve Gaussian state in presence of package-drop
KTH, School of Electrical Engineering (EES), Automatic Control.
2017 (English)In: 2017 American Control Conference (ACC) 24-26 May 2017, Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 1233-1237Conference paper, Published paper (Refereed)
Abstract [en]

State estimation is a core objective in cyber-physical systems. In the state estimation problem over linear systems, the Kalman filter is the standard solution. The filter is the format on which the solutions to subsequent estimation problems are based. Among these problems are the estimation problem in the presence of packet drops and estimation problem involving event-based triggers. We study in this paper both phenomena simultaneously. In an attempt to find the Kalman-like filter, which proves the Gaussianity of the state and offers a set of update equations, our paper shows that no such filter exists. More precisely, one cannot find an event-based trigger such that under possible packet drops, the state variable remains a Gaussian variable. This conclusion can be reasonably extended to a more general setting.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 1233-1237
Series
Proceedings of the American Control Conference, ISSN 0743-1619
Keywords [en]
event-based triggers, packet drops, State estimation
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-212468DOI: 10.23919/ACC.2017.7963121ISI: 000427033301046Scopus ID: 2-s2.0-85027075531ISBN: 9781509059928 (print)OAI: oai:DiVA.org:kth-212468DiVA, id: diva2:1135104
Conference
2017 American Control Conference, ACC 2017, Sheraton Seattle Hotel, Seattle, United States, 24 May 2017 through 26 May 2017
Note

QC 20170822

Available from: 2017-08-22 Created: 2017-08-22 Last updated: 2018-04-10Bibliographically approved

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  • Other locale
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Output format
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