μ-synthesis with dynamic D-scalings using Quantum Particle Swarm Optimization | IEEE Conference Publication | IEEE Xplore

μ-synthesis with dynamic D-scalings using Quantum Particle Swarm Optimization


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...Show More

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.
Date of Conference: 24-27 June 2014
Date Added to IEEE Xplore: 24 July 2014
Print ISBN:978-3-9524269-1-3
Conference Location: Strasbourg, France

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