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

Philippe Feyel 1 Gilles Duc 1 Guillaume Sandou 2, 1
1 E3S - Supélec Sciences des Systèmes
2 DISCO - Dynamical Interconnected Systems in COmplex Environments
Inria Saclay - Ile de France, L2S - Laboratoire des signaux et systèmes
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.
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Conference papers
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https://hal.inria.fr/hal-00975142
Contributor : Pascale Lepeltier <>
Submitted on : Tuesday, April 8, 2014 - 8:58:40 AM
Last modification on : Tuesday, April 13, 2021 - 12:20:05 PM

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CNRS | INRIA | SUPELEC | SUP_LSS | TDS-MACS | L2S | SUP_AUTO | DISCO-L2S

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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. pp.606 - 611, ⟨10.1109/ECC.2014.6862395⟩. ⟨hal-00975142⟩

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