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The robustness against parametric uncertainties can be studied using the structured singular value μ. In that case, a normalization of the uncertain parameters is performed, and the μ analysis provides the larger parallelepiped centered in the nominal and included in the stability domain. However, results depend on the initial normalization. In this paper, the normalization is optimized so as to get...
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...
This paper presents a comparative robust stability analysis using IQC-based and LMI-based tools. An LFR, resulting from the factorization of the equations of motion, allows assessing the robust stability of a space launcher in the face of inertia uncertainties and saturated inputs.
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