Optimal averaging time for improving observer accuracy of stochastic dynamical systems
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Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7034
comunitat-uji-handle3:10234/8619
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Título
Optimal averaging time for improving observer accuracy of stochastic dynamical systemsFecha de publicación
2020-09-02Editor
Elsevier; ISAISSN
0019-0578; 0019-0578Cita bibliográfica
BALAGUER, Pedro; IBEAS, Asier. Optimal averaging time for improving observer accuracy of stochastic dynamical systems. ISA transactions, 2020.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://www.sciencedirect.com/science/article/pii/S0019057820303712#!Versión
info:eu-repo/semantics/acceptedVersionPalabras clave / Materias
Resumen
In the problem of remote estimation by a centralized observer, improvements to the accuracy of observer estimates come at a cost of higher communication bandwidth and energy consumption. In this article we improve ... [+]
In the problem of remote estimation by a centralized observer, improvements to the accuracy of observer estimates come at a cost of higher communication bandwidth and energy consumption. In this article we improve observer estimation accuracy by reducing the measurement variance on the sensor node before its transmission to the centralized observer node. The main contribution is to show that measurement variance is a trade-off between dynamical system variance and sensor variance. As a result there is an optimal averaging time that minimizes measurement variance, providing more accurate measurement to the observer. The optimal averaging time is computable by solving a univariate optimization problem. [-]
Publicado en
ISA Transactions Volume 108, February 2021, Pages 207-219Derechos de acceso
©2020 ISA. Published byElsevier Ltd. All rights reserved
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
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