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About

Ali Hussien Mary is a control systems researcher whose work centers on advanced robotics control, trajectory tracking, and intelligent control strategies for nonlinear robotic manipulators. With a body of research spanning nearly a decade, Mary has made significant contributions to solving two fundamental challenges in robotics: achieving precise trajectory tracking under uncertainty and resolving the inverse kinematics problem efficiently. His most celebrated work, "Adaptive PD-SMC for Nonlinear Robotic Manipulator Tracking Control" (2017, 26 citations), introduced a hybrid adaptive control scheme combining Sliding Mode Control with Proportional Derivative terms, offering robust performance against external disturbances and system uncertainties. This research established a foundation for his subsequent contributions, including model-free PID-SMC approaches (2018, 16 citations) and fuzzy logic-based inverse kinematics solutions (2016, 17 citations) that operate independently of robot geometry or degrees of freedom. Mary's methodological versatility is evident across his portfolio, which spans LMI optimization, computed torque control, and fuzzy-SMC hybrid strategies. His 2024 work on adaptive robust tracking reflects his continued refinement of intelligent, model-free control frameworks. Collectively accumulating over 80 citations, his research provides practically valuable tools for engineers and researchers advancing autonomous robotic systems in industrial and precision applications.