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Upravlenie Bol'shimi Sistemami, 2013, Issue 46, Pages 147–162 (Mi ubs734)  

This article is cited in 6 scientific papers (total in 6 papers)

Predictive control approach in networked control systems

R. Zhuchkov

Arzamas Polytechnic Institute of R. E. Alekseev Nizhny Novgorod State Technical University
Full-text PDF (534 kB) Citations (6)
References:
Abstract: We consider a stabilization problem in a networked control system with packets dropouts and build dynamic feedback control using system outputs. Predictive control approach is used to obtain estimates of plant state at each time moment k, which makes unnecessary taking into account plant state switching when a packet dropout occurs.
Keywords: predictive control, Kalman filter, networked control systems, linear matrix inequalities, linear discrete systems.
English version:
Automation and Remote Control, 2015, Volume 76, Issue 9, Pages 1704–1712
DOI: https://doi.org/10.1134/S0005117915090167
Bibliographic databases:
Document Type: Article
UDC: 62.50
BBC: Ж 30
Language: Russian
Citation: R. Zhuchkov, “Predictive control approach in networked control systems”, UBS, 46 (2013), 147–162; Autom. Remote Control, 76:9 (2015), 1704–1712
Citation in format AMSBIB
\Bibitem{Zhu13}
\by R.~Zhuchkov
\paper Predictive control approach in networked control systems
\jour UBS
\yr 2013
\vol 46
\pages 147--162
\mathnet{http://mi.mathnet.ru/ubs734}
\transl
\jour Autom. Remote Control
\yr 2015
\vol 76
\issue 9
\pages 1704--1712
\crossref{https://doi.org/10.1134/S0005117915090167}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=000365867800016}
Linking options:
  • https://www.mathnet.ru/eng/ubs734
  • https://www.mathnet.ru/eng/ubs/v46/p147
  • This publication is cited in the following 6 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Upravlenie Bol'shimi Sistemami
    Statistics & downloads:
    Abstract page:322
    Full-text PDF :111
    References:31
    First page:1
     
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