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About

Yassine Bensafia is a control systems engineer whose research focuses on the application of fractional calculus to robotics and adaptive control. His major contributions lie in developing advanced control strategies for robotic manipulators, particularly the SCARA robot, to improve trajectory tracking precision and system responsiveness. Bensafia’s most cited work, "Fractional order model reference adaptive control for SCARA robot trajectory tracking" (2018, 15 citations), pioneered the integration of fractional-order dynamics into model reference adaptive control (MRAC), demonstrating superior performance for smooth trajectories. He further advanced this field with "Reducing the Delay Time and Tracking Trajectory of the Robot SCARA Using the Fractional PID Controller" (2024, 4 citations), which leverages fractional-order PID controllers to minimize delay and enhance disturbance rejection. Collectively, his papers have garnered over 24 citations, reflecting a growing interest in fractional-order control (FOC) for industrial robotics. Bensafia’s work is notable for bridging theoretical fractional calculus with practical robotic applications, offering solutions that improve both speed and accuracy in automated systems. His research is particularly relevant for students and engineers exploring next-generation adaptive and robust control methods in mechatronics.