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review article

Distributed state estimation for discrete-time linear time invariant systems: A survey

Rego, Francisco F. C.
•
Pascoal, Antonio M.
•
Aguiar, A. Pedro
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2019
Annual Reviews In Control

Motivated by the increasing availability and quality of miniaturized sensors, computers, and wireless communication devices arid given their enormous potential, the use of wireless sensor networks (WSN) has become widespread. Because in many applications of WSNs one is required to estimate at each local sensor unit the state of a system given the measurements acquired by multiple sensors, there has been a flurry of activity related to the theory of distributed state estimation. This article contains a literature survey of distributed state estimation for discrete-time linear time invariant systems. In order to obtain the proper historical context, we review the state of the art in this field and summarize previous work. To provide the mathematical intuition behind some of the methods, this survey paper reproduces some of the main results given in the literature. It also provides a critical appraisal of the state of the art and affords the reader a comprehensive presentation of the most relevant results published so far. (C) 2019 Elsevier Ltd. All rights reserved.

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Type
review article
DOI
10.1016/j.arcontrol.2019.08.003
Web of Science ID

WOS:000501390700003

Author(s)
Rego, Francisco F. C.
Pascoal, Antonio M.
Aguiar, A. Pedro
Jones, Colin N.  
Date Issued

2019

Published in
Annual Reviews In Control
Volume

48

Start page

36

End page

56

Subjects

Automation & Control Systems

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distributed state estimation

•

linear systems

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wireless sensor networks

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extended kalman filter

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cooperative localization

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communication losses

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multiple sensors

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data fusion

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consensus

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algorithm

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networks

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observers

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delays

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LA3  
Available on Infoscience
December 25, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/164177
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