Optimal averaging time for improving observer accuracy of stochastic dynamical systems
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comunitat-uji-handle2:10234/7034
comunitat-uji-handle3:10234/8619
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INVESTIGACIONMetadata
Title
Optimal averaging time for improving observer accuracy of stochastic dynamical systemsDate
2020-09-02Publisher
Elsevier; ISAISSN
0019-0578; 0019-0578Bibliographic citation
BALAGUER, Pedro; IBEAS, Asier. Optimal averaging time for improving observer accuracy of stochastic dynamical systems. ISA transactions, 2020.Type
info:eu-repo/semantics/articlePublisher version
https://www.sciencedirect.com/science/article/pii/S0019057820303712#!Version
info:eu-repo/semantics/acceptedVersionSubject
Abstract
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. [-]
Is part of
ISA Transactions Volume 108, February 2021, Pages 207-219Rights
©2020 ISA. Published byElsevier Ltd. All rights reserved
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
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