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Vestnik Novosibirskogo Gosudarstvennogo Universiteta. Seriya Matematika, Mekhanika, Informatika, 2011, Volume 11, Issue 3, Pages 95–113 (Mi vngu91)  
This article is cited in 2 scientific papers (total in 2 papers)

On tracking extremum parameters in the identification variational problem

A. O. Egorshin

Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk
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Abstract: There be given comparison tracking problems in linear means of least square and variational method of linear dynamical models with constant equation coefficients. There be given deduction of the tracking equations in the mentioned optimization problems. There be derived formulas for vectors of the first and matrix of the second derivatives with respect to equation parameters in variational identification problem.
Keywords: tracking equations, extremum parameters, dynamic model, equation coefficients, means of least square, projection, variational identification functional derivatives, Hessian.
Received: 11.06.2010
English version:
Journal of Mathematical Sciences, 2013, Volume 195, Issue 6, Pages 791–804
DOI: https://doi.org/10.1007/s10958-013-1618-9
Document Type: Article
UDC: 517.925.54:517.962.27
Language: Russian
Citation: A. O. Egorshin, “On tracking extremum parameters in the identification variational problem”, Vestn. Novosib. Gos. Univ., Ser. Mat. Mekh. Inform., 11:3 (2011), 95–113; J. Math. Sci., 195:6 (2013), 791–804
Citation in format AMSBIB
\Bibitem{Ego11}
\by A.~O.~Egorshin
\paper On tracking extremum parameters in the identification variational problem
\jour Vestn. Novosib. Gos. Univ., Ser. Mat. Mekh. Inform.
\yr 2011
\vol 11
\issue 3
\pages 95--113
\mathnet{http://mi.mathnet.ru/vngu91}
\transl
\jour J. Math. Sci.
\yr 2013
\vol 195
\issue 6
\pages 791--804
\crossref{https://doi.org/10.1007/s10958-013-1618-9}
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    • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    		Вестник Новосибирского государственного университета. Серия: математика, механика, информатика
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