Data-driven LPV control based on Quadratic Matrix Inequalities: Experimental application to the Quanser Aero

This paper presents the application of a recently proposed data-driven Linear Parameter Varying (LPV) controller design method to the Quanser Aero. The employed approach is based on Quadratic Matrix Inequalities (QMIs) and the strict matrix S-lemma. The existing approach is tweaked with the aim of forcing a higher control aggressiveness. Simulation and experimental results involving stabilization and multi-step-reference tracking are used to illustrate the validity and performance of the design.