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.
Data-driven LPV control based on Quadratic Matrix Inequalities: Experimental application to the Quanser Aero / Faleschini, M.; Rotondo, D.; Corradini, M. L.. - In: EUROPEAN JOURNAL OF CONTROL. - ISSN 0947-3580. - 86:A(2025). [10.1016/j.ejcon.2025.101299]
Data-driven LPV control based on Quadratic Matrix Inequalities: Experimental application to the Quanser Aero
Faleschini M.
Primo
Writing – Original Draft Preparation
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2025
Abstract
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.| File | Dimensione | Formato | |
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Faleschini_Data-driven_2025.pdf
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Note: https://doi.org/10.1016/j.ejcon.2025.101299
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