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JOURNALS // Avtomatika i Telemekhanika // Archive

Avtomat. i Telemekh., 2004 Issue 7, Pages 71–81 (Mi at1606)

This article is cited in 4 papers

Adaptive and Robust Systems

Synthesis of optimal robust $H^{\infty}$-control by convex optimization methods

D. V. Balandina, M. M. Koganb

a N. I. Lobachevski State University of Nizhni Novgorod
b Nizhny Novgorod State University of Architecture and Civil Engineering

Abstract: It is shown that the synthesis of robust $H^{\infty}$-control with respect to the output for systems with unknown limited parameters reduces to the solution of an optimization problem under constraints prescribed by a system of linear matrix inequalities. For this kind of problems, an optimization algorithm implemented with the use of standard procedures of the MATLAB package is suggested. The algorithm effectiveness is illustrated by the example of an optimal dampening of vibrations of a parametrically perturbed pendulum.

Presented by the member of Editorial Board: A. P. Kurdyukov

Received: 22.09.2003


 English version:
Automation and Remote Control, 2004, 65:7, 1099–1109

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