Mu-synthesis with dynamic D-Scalings using Quantum Particle Swarm Optimization

Philippe Feyel 1 Gilles Duc 1 Guillaume Sandou 2, 1
1 AUTO - Département Automatique
E3S - Supélec Sciences des Systèmes [Gif-sur-Yvette]
2 DISCO - Dynamical Interconnected Systems in COmplex Environments
L2S - Laboratoire des signaux et systèmes, Inria Saclay - Ile de France, SUPELEC, CNRS - Centre National de la Recherche Scientifique : UMR8506
Abstract : This paper proposes to revisit the μ-synthesis problem with a recent and efficient meta-heuristic called Quantum Particle Swarm Optimization (QPSO). This algorithm allows optimizing dynamic (or static) D-scalings without fitting them, which leads to robust performance controllers. This method has been applied successfully to a classical flexible plant control problem with a reasonable computation time.
Type de document :
Communication dans un congrès
13th European Control Conference (ECC 2014), Jun 2014, Strasbourg, France. IEEE, pp.606 - 611, 2014, 〈10.1109/ECC.2014.6862395〉
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https://hal.inria.fr/hal-00975142
Contributeur : Pascale Lepeltier <>
Soumis le : mardi 8 avril 2014 - 08:58:40
Dernière modification le : jeudi 26 avril 2018 - 15:10:40

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Philippe Feyel, Gilles Duc, Guillaume Sandou. Mu-synthesis with dynamic D-Scalings using Quantum Particle Swarm Optimization. 13th European Control Conference (ECC 2014), Jun 2014, Strasbourg, France. IEEE, pp.606 - 611, 2014, 〈10.1109/ECC.2014.6862395〉. 〈hal-00975142〉

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