Section: New Results

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

Participants : Guillaume Sandou [correspondent] , Gilles Duc [Supélec, E3S] , Philippe Feyel [Sagem] .

This study proposes to revisit the mu-synthesis problem with a recent and efficient meta-heuristic called Quantum Particle Swarm Optimization (QPSO). This algorithm allows us to optimizing dynamics (or static) D-scalings without fitting them which leads to robust performance controllers. This method has been applied to an industrial problem and has been proven to be better than the classical D-K iteration method.