Set-valued Kalman filtering: Event triggered communication with quantized measurements View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-05

AUTHORS

Daxing Xu, Yan Qin, Heng Zhang, Li Yu, Hailun Wang

ABSTRACT

This paper is concerned with remote state estimation problem with bandwidth and energy constrained wireless sensor networks(WSNs). To improve the estimation quality under these constrains in addressed system, measurement quantization and event-triggered communication strategies are adopted in WSN. Specifically, quantization strategy and event-triggering mechanism are introduced to describe the set region of original measurements, and a closest ellipsoid approximation of measurement sets method is presented. Subsequently, set-valued Kalman filter based on quantization and event is designed by utilizing the quantizer and trigger information. Finally, an illustrative example is employed to demonstrate the advantages and effectiveness of the proposed methods. More... »

PAGES

677-688

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12083-018-0657-x

DOI

http://dx.doi.org/10.1007/s12083-018-0657-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1103925325


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