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Peer-to-Peer Networking and Applications

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10-05-2018

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

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

Published in: Peer-to-Peer Networking and Applications | Issue 3/2019

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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.

previous article Hybrid-triggered state feedback H∞ control for networked control systems with stochastic nonlinearity and quantization

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Title: Set-valued Kalman filtering: Event triggered communication with quantized measurements
Authors: Daxing Xu
Yan Qin
Heng Zhang
Li Yu
Hailun Wang
Publication date: 10-05-2018
Publisher: Springer US
Published in: Peer-to-Peer Networking and Applications / Issue 3/2019
Print ISSN: 1936-6442
Electronic ISSN: 1936-6450
DOI: https://doi.org/10.1007/s12083-018-0657-x

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