Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/159376
Title: Optimal unbiased linear sensor fusion over multiple lossy channels with collective observability
Authors: Wu, Yuchi
Ding, Kemi
Li, Yuzhe
Shi, Ling
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2021
Source: Wu, Y., Ding, K., Li, Y. & Shi, L. (2021). Optimal unbiased linear sensor fusion over multiple lossy channels with collective observability. Automatica, 128, 109568-. https://dx.doi.org/10.1016/j.automatica.2021.109568
Journal: Automatica
Abstract: In this paper, we consider optimal linear sensor fusion for obtaining a remote state estimate of a linear process based on the sensor data transmitted over lossy channels. There is no local observability guarantee for any of the sensors. It is assumed that the state of the linear process is collectively observable. We transform the problem of finding the optimal linear sensor fusion coefficients as a convex optimization problem which can be efficiently solved. Moreover, the closed-form expression is also derived for the optimal coefficients. Simulation results are presented to illustrate the performance of the developed algorithm.
URI: https://hdl.handle.net/10356/159376
ISSN: 0005-1098
DOI: 10.1016/j.automatica.2021.109568
Rights: © 2021 Elsevier Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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