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JOURNALS // Avtomatika i Telemekhanika // Archive

Avtomat. i Telemekh., 2023 Issue 10, Pages 59–71 (Mi at16222)

This article is cited in 1 paper

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.

Presented by the member of Editorial Board: V. M. Glumov

Received: 19.06.2023
Revised: 18.07.2023
Accepted: 02.08.2023

DOI: 10.31857/S0005231023100069


 English version:
Automation and Remote Control, 2023, 84:10, 1055–1064


© Steklov Math. Inst. of RAS, 2026