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Avtomatika i Telemekhanika, 2018, Issue 11, Pages 67–81
DOI: https://doi.org/10.31857/S000523100002777-8 (Mi at15220) 		 
This article is cited in 1 scientific paper (total in 1 paper)

Control in Technical Systems

A hybrid control system for an unstable non-stationary plant with a predictive model

Yu. V. Mitrishkinab, M. P. Golubtsovba

a Lomonosov Moscow State University, Moscow, Russia
b Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia
Full-text PDF (1629 kB) Citations (1)
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DOI: https://doi.org/10.31857/S000523100002777-8
Abstract: A hybrid control system with a discrete adaptive predictive model for a nonstationary unstable third-order dynamic plant in continuous time is synthesized and modeled. An adaptive state observer, estimating a variable parameter of the plant model with respect to the a quadratic quality criterion, was synthesized. Continuous estimation of the plant parameter for a discrete sample is used in a discrete adaptive control algorithm with a predictive model. A linear model of the control plant mimics the unstable vertical motion of plasma in a tokamak with a vertical cross-section elongated along the vertical axis compared to a given equilibrium position.
Keywords: adaptive predictive model, unstable non-stationary plant, adaptive state observer, hybrid system, plasma, tokamak.
Funding agency Grant number
Russian Science Foundation 17-19-01022
Russian Foundation for Basic Research 17-08-00293_а
This work was supported by the Russian Science Foundation, project no. 17-19-01022, Sections 4–6, and the Russian Foundation for Basic Research, project no. 17-08-00293, Sections 1–3.
Presented by the member of Editorial Board: S. N. Vassilyev

Received: 02.02.2018
English version:
Automation and Remote Control, 2018, Volume 79, Issue 11, Pages 2005–2017
DOI: https://doi.org/10.1134/S000511791811005X
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: Yu. V. Mitrishkin, M. P. Golubtsov, “A hybrid control system for an unstable non-stationary plant with a predictive model”, Avtomat. i Telemekh., 2018, no. 11, 67–81; Autom. Remote Control, 79:11 (2018), 2005–2017
Citation in format AMSBIB
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  • https://www.mathnet.ru/eng/at/y2018/i11/p67
    • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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