Yasmina Becis-Aubry

Centre National de la Recherche Scientifique, Centre de Recherche en Automatique de Nancy

Papers

Total Citations

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About

Yasmina Becis-Aubry is a control systems researcher whose work sits at the intersection of robust control theory and robotics. Her primary contributions focus on the application of Linear Parameter Varying (LPV) frameworks to the control of robotic systems, with a particular emphasis on H-infinity (H∞) control methodologies. Her most recognized work centers on the SCARA robot — a widely used industrial manipulator — for which she developed and implemented polytopic LPV representations derived from classical Lagrangian dynamics equations. By reformulating inherently nonlinear robotic systems into tractable LPV models, her research enables the application of powerful robust control synthesis techniques, bridging the gap between theoretical control design and practical robotics applications. Her most-cited paper on H∞ control of a SCARA robot using the polytopic LPV approach (2006) has accumulated 14 citations, establishing it as her most impactful contribution to the field. Subsequent related publications further refined her state feedback LPV control strategies. While her citation counts reflect a specialized niche audience, her work offers meaningful contributions to researchers working on robust control of nonlinear mechanical systems, making her publications a valuable reference for those exploring parameter-varying control design for articulated robotic platforms.