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Conference Papers Year : 2014

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

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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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Dates and versions

hal-00975142 , version 1 (08-04-2014)

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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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