Result: Multiobjective optimization applied to robust H2/H∞ state-feedback control synthesis

Title:
Multiobjective optimization applied to robust H2/H∞ state-feedback control synthesis
Source:
Proceedings of the 2004 American Control Conference ACC (June 30-July 2, 2004, Boston Massachusetts). :4619-4624
Publisher Information:
Evanston IL; Piscataway NJ: American Automatic Control Council, IEEE, 2004.
Publication Year:
2004
Physical Description:
print, 14 ref
Original Material:
INIST-CNRS
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Department of Electrical Engineering, Centro Federal de Educação Tecnológica de Minas Gerais, Av. Amazonas 7675, 31510-470, Belo Horizonte, MG, Brazil
Department of Electronics Engineering, Federal University of Minas Gerais, Av. Antônio Carlos 6627, 31270-010, Belo Horizonte, MG, Brazil
Department of Mathematics, Federal University of Minas Gerais, Av. Antônio Carlos 6627, 31270-010, Belo Horizonte, MG, Brazil
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.18352169
Database:
PASCAL Archive

Further Information

This paper presents an algorithm for robust H2/H∞ state-feedback control synthesis, with regional pole placement, based on a multiobjective optimization algorithm with non-smooth problem-solving capability. The problem is formulated with the state-feedback matrix coefficients as optimization parameters. The closed-loop performance obtained by means of the proposed strategy is assessed for the whole uncertainty-set through an LMI-based H2 and H∞guaranteed cost computation. The proposed strategy is compared with three former LMI approaches, for systems with polytope-bounded uncertainties, and presents better results. Index Terms-Robust H2/H∞ control, regional pole placement, uncertain systems, multiobjective optimization.