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Avtomatika i Telemekhanika, 2023, Issue 10, Pages 59–71
DOI: https://doi.org/10.31857/S0005231023100069
(Mi at16222)
 

Topical issue

Parametrization of optimal anisotropic controllers

A. Yu. Kustov

Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia
References:
Abstract: This paper provides a parametrization of optimal anisotropic controllers for linear discrete time invariant systems. The controllers to be designed are limited by causal dynamic output-feedback control laws. The obtained solution depends on several adjustable parameters that determine the specific type of controller, and is of the form of a system of the Riccati equations relating to a $\mathcal{H}_2$-optimal controller for a system formed by a series connection of the original system and the worst-case generating filter corresponding to the maximum value of the mean anisotropy of the external disturbance.
Keywords: linear discrete systems, anisotropy-based theory, optimal control, parametrization.
Presented by the member of Editorial Board: V. M. Glumov

Received: 19.06.2023
Revised: 18.07.2023
Accepted: 02.08.2023
English version:
Automation and Remote Control, 2023, Volume 84, Issue 10, Pages 1186–1195
DOI: https://doi.org/10.25728/arcRAS.2023.11.68.001
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. Yu. Kustov, “Parametrization of optimal anisotropic controllers”, Avtomat. i Telemekh., 2023, no. 10, 59–71; Autom. Remote Control, 84:10 (2023), 1186–1195
Citation in format AMSBIB
\Bibitem{Kus23}
\by A.~Yu.~Kustov
\paper Parametrization of optimal anisotropic controllers
\jour Avtomat. i Telemekh.
\yr 2023
\issue 10
\pages 59--71
\mathnet{http://mi.mathnet.ru/at16222}
\crossref{https://doi.org/10.31857/S0005231023100069}
\edn{https://elibrary.ru/YDASXM}
\transl
\jour Autom. Remote Control
\yr 2023
\vol 84
\issue 10
\pages 1186--1195
\crossref{https://doi.org/10.25728/arcRAS.2023.11.68.001}
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    Avtomatika i Telemekhanika
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    References:7
    First page:6
     
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