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About

Meryam Rachedi is a control systems researcher whose work centers on robust control theory and its application to complex parallel robotic mechanisms. She has made significant contributions to the field of advanced robot control, with a particular focus on applying H∞ control strategies to the three-degree-of-freedom Delta parallel robot — a highly nonlinear, multi-input multi-output (MIMO) system that presents substantial engineering challenges. Rachedi's most influential work, "Design of an H∞ controller for the Delta robot: experimental results" (2015), has garnered 37 citations and stands as a landmark study demonstrating the practical implementation of H∞ multivariable control using the mixed sensitivity approach. Her research progressively deepened in sophistication, moving from simulation-based validation to experimental implementation and ultimately integrating inverse dynamic models into the H∞ framework to achieve high-performance trajectory tracking under demanding conditions — including accelerations of up to 12G. Across her body of work, Rachedi has explored and compared multiple model-based control strategies, including Computed Torque Control, H2 synthesis, and feedforward pre-computed torque methods, consistently bridging theoretical formulations with real-world robotics applications. Her cumulative contributions have meaningfully advanced the understanding of robust control in parallel mechanisms, making her research a valuable reference for engineers and students working at the intersection of control theory and robotics.