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Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia, 2021, Volume 500, Pages 107–111
DOI: https://doi.org/10.31857/S2686954321050179 (Mi danma212) 		 
This article is cited in 3 scientific papers (total in 3 papers)

CONTROL PROCESSES

Anisotropy-based approach to communication tuning for a time-varying sensor network system

A. V. Yurchenkova, A. Yu. Kustovb

a V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow
b Bauman Moscow State Technical University, Moscow, Russia
Full-text PDF (230 kB) Citations (3)
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DOI: https://doi.org/10.31857/S2686954321050179
Abstract: The communication graph design problem for a linear discrete time-varying sensor network system is considered. The design goal is to minimize the upper bound for the anisotropic norm of the input-to-estimation error system. The sensors are supposed to be objects with dropouts of given probability values. Exogenous disturbances are considered to be sequences of random vectors with bounded anisotropy of sequence fragments. The tuning of the adjacency matrix with a fixed estimation model is reduced to a convex optimization problem.
Keywords: anisotropy-based theory, multiplicative noise, sensor networks, dropouts, estimation, time-varying systems.
Presented: S. N. Vassilyev
Received: 05.08.2021
Revised: 05.08.2021
Accepted: 13.08.2021
English version:
Doklady Mathematics, 2021, Volume 104, Issue 2, Pages 311–315
DOI: https://doi.org/10.1134/S1064562421050173
Bibliographic databases:
Document Type: Article
UDC: 519.711.74
Language: Russian
Citation: A. V. Yurchenkov, A. Yu. Kustov, “Anisotropy-based approach to communication tuning for a time-varying sensor network system”, Dokl. RAN. Math. Inf. Proc. Upr., 500 (2021), 107–111; Dokl. Math., 104:2 (2021), 311–315
Citation in format AMSBIB
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    • This publication is cited in the following 3 articles:
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