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Authors: Guillaume Sandou ; Gilles Duc and Patrick Boucher

Affiliation: Supelec, France

ISBN: 978-989-8111-30-2

Keyword(s): Particle swarm optimization, Reduced-order H synthesis, metaheuristics.

Related Ontology Subjects/Areas/Topics: Evolutionary Computation and Control ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization

Abstract: H∞ controller synthesis is a well known design method for which efficient dedicated methods have been developed. However, such methods compute a full order controller which has often to be reduced to be implemented. Indeed, the reduced order H∞ synthesis is a non convex optimization problem due to rank constraints. In this paper, a particle swarm optimization method is used to solve such a problem. Numerical results show that the computed controller has a lower H∞ norm than the controller computed from a classical Hankel reduction of the full order H∞ controller.

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Paper citation in several formats:
Sandou G.; Duc G.; Boucher P. and (2008). REDUCED ORDER H∞ SYNTHESIS USING A PARTICLE SWARM OPTIMIZATION METHOD.In Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-8111-30-2, pages 302-305. DOI: 10.5220/0001489703020305

@conference{icinco08,
author={Guillaume Sandou and Gilles Duc and Patrick Boucher},
title={REDUCED ORDER H∞ SYNTHESIS USING A PARTICLE SWARM OPTIMIZATION METHOD},
booktitle={Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2008},
pages={302-305},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001489703020305},
isbn={978-989-8111-30-2},
}

TY - CONF

JO - Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - REDUCED ORDER H∞ SYNTHESIS USING A PARTICLE SWARM OPTIMIZATION METHOD
SN - 978-989-8111-30-2
AU - Sandou, G.
AU - Duc, G.
AU - Boucher, P.
PY - 2008
SP - 302
EP - 305
DO - 10.5220/0001489703020305

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