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About

Khatir Khettab is a researcher specializing in advanced control systems for robotic manipulators, with a particular focus on fractional-order control strategies. His work centers on enhancing the trajectory tracking performance of SCARA robots—a key area in industrial automation and precision manufacturing. Khettab’s major contributions include the development of a fractional-order model reference adaptive controller (FMRAC), which integrates fractional calculus into adaptive control to achieve smoother and more accurate trajectory tracking for SCARA manipulators. This innovative approach addresses limitations of traditional integer-order controllers, offering improved disturbance rejection and response time. His most-cited paper on this topic has garnered 15 citations, underscoring its influence in the field. More recently, Khettab has explored the use of fractional PID controllers to reduce delay time and enhance tracking accuracy, as demonstrated in his 2024 publication. By advancing fractional-order control (FOC) theory and its application to robotics, Khettab is contributing to the evolution of more robust and efficient robotic systems, making his work highly relevant for students and researchers in control engineering and robotics.