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Avtomatika i Telemekhanika, 2023, Issue 10, Pages 150–168
DOI: https://doi.org/10.31857/S0005231023100124
(Mi at16154)
 

Robust, Adaptive and Network Control

Numerical methods for robust performance analysis of linear discrete-time polytopic systems with respect to random disturbances

A. A. Belov

Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia
References:
Abstract: Discrete linear polytopic systems affected by random correlated stationary disturbances are considered. New numerical methods for estimating of the anisotropic norm of a polytopic system using linear matrix inequalities are proposed.
Keywords: polytopic uncertainties, LMI, mean anisotropy, random processes, analysis.
Funding agency Grant number
Russian Science Foundation 23-21-00306
This work was supported by the Russian Science Foundation, project no. 23-21-00306. https://rscf.ru/project/23-21-00306/
Presented by the member of Editorial Board: M. V. Khlebnikov

Received: 16.05.2023
Revised: 19.07.2023
Accepted: 31.08.2023
English version:
Automation and Remote Control, 2023, Volume 84, Issue 10, Pages 1259–1274
DOI: https://doi.org/10.25728/arcRAS.2023.65.73.001
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. A. Belov, “Numerical methods for robust performance analysis of linear discrete-time polytopic systems with respect to random disturbances”, Avtomat. i Telemekh., 2023, no. 10, 150–168; Autom. Remote Control, 84:10 (2023), 1259–1274
Citation in format AMSBIB
\Bibitem{Bel23}
\by A.~A.~Belov
\paper Numerical methods for robust performance analysis of linear discrete-time polytopic systems with respect to random disturbances
\jour Avtomat. i Telemekh.
\yr 2023
\issue 10
\pages 150--168
\mathnet{http://mi.mathnet.ru/at16154}
\crossref{https://doi.org/10.31857/S0005231023100124}
\edn{https://elibrary.ru/YCLFCQ}
\transl
\jour Autom. Remote Control
\yr 2023
\vol 84
\issue 10
\pages 1259--1274
\crossref{https://doi.org/10.25728/arcRAS.2023.65.73.001}
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    References:12
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