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Journal of Computational and Engineering Mathematics, 2016, Volume 3, Issue 3, Pages 19–32
DOI: https://doi.org/10.14529/jcem160303
(Mi jcem67)
 

This article is cited in 9 scientific papers (total in 9 papers)

Engineering Mathematics

Mathematical bases of optimal measurements theory in nonstationary case

M. A. Sagadeeva

South Ural State University (Chelyabinsk, Russian Federation)
Full-text PDF (164 kB) Citations (9)
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Abstract: Recently, the use of mathematical results is becoming increasingly vast field of study for solving technical problems. An example of such approach is the recently developed optimal measurement theory. In the article the mathematical reasoning for solution of the measurement problem of dynamically distorted signal, taking into account the multiplier effect on the measuring transducer (MT). Making such a change can improve the adequacy of the mathematical model of the MT, namely, the problem is considered under the assumption that the MT are subject to change over time, which allows us to describe a decrease in sensitivity of elements of the MT.
Keywords: nonstationary Sobolev type equations, relatively bounded operator, degenerate flow of operators, optimal control problem, Showalter – Sidorov problem.
Received: 20.08.2016
Bibliographic databases:
Document Type: Article
UDC: 517.9
MSC: 93C23
Language: English
Citation: M. A. Sagadeeva, “Mathematical bases of optimal measurements theory in nonstationary case”, J. Comp. Eng. Math., 3:3 (2016), 19–32
Citation in format AMSBIB
\Bibitem{Sag16}
\by M.~A.~Sagadeeva
\paper Mathematical bases of optimal measurements theory in nonstationary case
\jour J. Comp. Eng. Math.
\yr 2016
\vol 3
\issue 3
\pages 19--32
\mathnet{http://mi.mathnet.ru/jcem67}
\crossref{https://doi.org/10.14529/jcem160303}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=3555081}
\elib{https://elibrary.ru/item.asp?id=27237903}
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  • This publication is cited in the following 9 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    Journal of Computational and Engineering Mathematics
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