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Upravlenie Bol'shimi Sistemami, 2023, Issue 103, Pages 94–120
DOI: https://doi.org/10.25728/ubs.2023.103.4
(Mi ubs1152)
 

Analysis and Synthesis of Control Systems

On the application of Kalman filter for the estimation problem with weakly coloured noises

I. R. Belov, A. Yu. Kustov

V.A. Trapeznikov Institute of Control Sciences of RAS, Moscow
References:
Abstract: The anisotropy-based estimation problem for linear discrete time invariant system is considered in the paper. The asymptotic formulas for estimator matrices, estimation error covariance matrice and anisotropic norm of estimation error system under the condition of small values of mean anisotropy of input disturbance are demonstrated. Also the maximum edge of external disturbance anisotropy, providing the prescribed accuracy of anisotropy-based estimator approximation by Kalman filter, is determined in the article. The stated problems solution is demonstrated in the graphical results of numerical modelling for linear discrete time invariant stable system.
Keywords: anisotropy-based theory, estimation problem, linear discrete time invariant systems, Kalman filter.
Received: March 22, 2023
Published: May 31, 2023
Document Type: Article
UDC: 681.518.22; 681.514; 681.516.75
BBC: 32.965.4; 32.965.6
Language: Russian
Citation: I. R. Belov, A. Yu. Kustov, “On the application of Kalman filter for the estimation problem with weakly coloured noises”, UBS, 103 (2023), 94–120
Citation in format AMSBIB
\Bibitem{BelKus23}
\by I.~R.~Belov, A.~Yu.~Kustov
\paper On the application of Kalman filter for the estimation problem with weakly coloured noises
\jour UBS
\yr 2023
\vol 103
\pages 94--120
\mathnet{http://mi.mathnet.ru/ubs1152}
\crossref{https://doi.org/10.25728/ubs.2023.103.4}
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