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Topical issue
Parametrization of optimal anisotropic controllers
A. Yu. Kustov Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia
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.
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
Linking options:
https://www.mathnet.ru/eng/at16222 https://www.mathnet.ru/eng/at/y2023/i10/p59
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Abstract page: | 25 | References: | 7 | First page: | 6 |
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