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This article is cited in 14 scientific papers (total in 14 papers)
Mathematical Modeling
Recursive parametrical identification of multidimensional linear dynamic systems with local autocorrelated noises in input and output signals
D. V. Ivanov, O. A. Katsyuba Dept. of Mechatronics in Automated Production, Samara State Transport University, Samara
(published under the terms of the Creative Commons Attribution 4.0 International License)
Abstract:
The recursive algorithm allowing to receive strongly consistent estimates of parameters of multidimensional on an input linear dynamic systems with locally autocorrelated noise in input and output signals is suggested. Numerical examples are included to illustrate the effectiveness of the proposed algorithm.
Keywords:
recursive identification, linear dynamic system, stochastic approximation, errors in variables, least square method.
Original article submitted 04/XI/2010 revision submitted – 26/IX/2011
Citation:
D. V. Ivanov, O. A. Katsyuba, “Recursive parametrical identification of multidimensional linear dynamic systems with local autocorrelated noises in input and output signals”, Vestn. Samar. Gos. Tekhn. Univ., Ser. Fiz.-Mat. Nauki [J. Samara State Tech. Univ., Ser. Phys. Math. Sci.], 4(25) (2011), 102–109
Linking options:
https://www.mathnet.ru/eng/vsgtu840 https://www.mathnet.ru/eng/vsgtu/v125/p102
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Abstract page: | 629 | Full-text PDF : | 300 | References: | 47 | First page: | 1 |
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