Design of Suboptimal Robust Controllers Based on a Priori and Experimental Data

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Abstract

This paper develops a novel unified approach to designing suboptimal robust control laws for uncertain objects with different criteria based on a priori information and experimental data. The guaranteed estimates of the γ0, generalized H2, and H∞ norms of a closed loop system and the corresponding suboptimal robust control laws are expressed in terms of solutions of linear matrix inequalities considering a priori knowledge and object modeling data. A numerical example demonstrates the improved quality of control systems when a priori and experimental data are used together.

About the authors

M. M. Kogan

Nizhny Novgorod State University of Architecture and Civil Engineering

Email: mkogan@nngasu.ru
Nizhny Novgorod, Russia

A. V. Stepanov

Nizhny Novgorod State University of Architecture and Civil Engineering

Author for correspondence.
Email: andrey8st@yahoo.com
Nizhny Novgorod, Russia

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