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Distributed filtering for uncertain systems under switching sensor networks and quantized communications
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).
2020 (English)In: Automatica, ISSN 0005-1098, E-ISSN 1873-2836, Vol. 114, article id 108842Article in journal (Refereed) Published
Abstract [en]

This paper considers the distributed filtering problem for a class of stochastic uncertain systems under quantized data flowing over switching sensor networks. Employing the biased noisy observations of the local sensor and interval-quantized messages from neighboring sensors successively, an extended state based distributed Kalman filter (DKF) is proposed for simultaneously estimating both system state and uncertain dynamics. To alleviate the effect of observation biases, an event-triggered update based DKF is presented with a tighter mean square error (MSE) bound than that of the time-driven one by designing a proper threshold. Both the two DKFs are shown to provide the upper bounds of MSE online for each sensor. Under mild conditions on systems and networks, the MSE boundedness and asymptotic unbiasedness for the proposed two DKFs are proved. Finally, numerical simulations demonstrate the effectiveness of the developed filters.

Place, publisher, year, edition, pages
Elsevier Ltd , 2020. Vol. 114, article id 108842
Keywords [en]
Biased observation, Distributed Kalman filtering, Quantized communications, Sensor network, Uncertain system, Mean square error, Sensor networks, Stochastic systems, Uncertain systems, Asymptotic unbiasedness, Distributed filtering, Distributed Kalman filters, Kalman-filtering, Noisy observations, Uncertain dynamics, Kalman filters
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-267937DOI: 10.1016/j.automatica.2020.108842ISI: 000519656500015Scopus ID: 2-s2.0-85078234751OAI: oai:DiVA.org:kth-267937DiVA, id: diva2:1421186
Note

QC 20200402

Available from: 2020-04-02 Created: 2020-04-02 Last updated: 2020-04-07Bibliographically approved

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He, Xingkang

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