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Avtomatika i Telemekhanika, 2015, Issue 12, Pages 27–42 (Mi at14327)  

This article is cited in 10 scientific papers (total in 10 papers)

Linear Systems

Signal differentiation in automatic control systems

S. V. Emel'yanovabc, A. P. Afanas'evbac

a Lomonosov State University, Moscow, Russia
b Institute for Information Transmission Problems (Kharkevich Institute), Russian Academy of Sciences, Moscow, Russia
c National University of Science and Technology MISiS, Moscow, Russia
References:
Abstract: Realization of the traditional approaches to differentiation of signals in the automatic control systems is hindered by the negative effect of gain on the accuracy of differentiation and stability to high-frequency noise. An approach was proposed based on representing the considered signal as a power function with coefficients that are calculated by repeated integration and approximate the derivative of the original signal. At that, the accuracy of differentiation and the level of noise immunity can be improved by using more integrators, rather than increasing the gains.
Funding agency Grant number
Russian Foundation for Basic Research 12-01-00961-а
15-01-08838-а
Ministry of Education and Science of the Russian Federation 02.АО3.21 0004
Presented by the member of Editorial Board: B. T. Polyak

Received: 31.10.2014
English version:
Automation and Remote Control, 2015, Volume 76, Issue 12, Pages 2110–2123
DOI: https://doi.org/10.1134/S0005117915120024
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: S. V. Emel'yanov, A. P. Afanas'ev, “Signal differentiation in automatic control systems”, Avtomat. i Telemekh., 2015, no. 12, 27–42; Autom. Remote Control, 76:12 (2015), 2110–2123
Citation in format AMSBIB
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\by S.~V.~Emel'yanov, A.~P.~Afanas'ev
\paper Signal differentiation in automatic control systems
\jour Avtomat. i Telemekh.
\yr 2015
\issue 12
\pages 27--42
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\transl
\jour Autom. Remote Control
\yr 2015
\vol 76
\issue 12
\pages 2110--2123
\crossref{https://doi.org/10.1134/S0005117915120024}
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Linking options:
  • https://www.mathnet.ru/eng/at14327
  • https://www.mathnet.ru/eng/at/y2015/i12/p27
  • This publication is cited in the following 10 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Avtomatika i Telemekhanika
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    Full-text PDF :100
    References:63
    First page:55
     
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