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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
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
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
Linking options:
https://www.mathnet.ru/eng/ubs1152 https://www.mathnet.ru/eng/ubs/v103/p94
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Statistics & downloads: |
Abstract page: | 56 | Full-text PDF : | 42 | References: | 13 |
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