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About

M. Mokhtari is a control systems researcher whose work focuses primarily on advanced robotics and rehabilitation engineering, with a particular emphasis on lower limb exoskeleton systems. Their research sits at the intersection of robust control theory and assistive technology, addressing some of the most challenging problems in human-robot interaction and motion assistance. Mokhtari's most significant contributions center on the development of sophisticated control strategies for exoskeleton robots, combining impedance control with cutting-edge sliding mode techniques. Their 2021 paper on optimal adaptive high-order super twisting sliding mode control for a 7-DOF lower limb exoskeleton has garnered 42 citations, reflecting substantial community interest in this approach. A recurring theme across their work is the mitigation of chattering — a critical practical challenge in sliding mode controllers — while maintaining robustness against uncertainties and disturbances. Particularly noteworthy is Mokhtari's research into fault-tolerant control for exoskeletons, proposing hybrid backstepping nonsingular fast terminal integral sliding mode frameworks capable of maintaining safe operation under system faults — a crucial consideration for patient-facing rehabilitation devices. Their body of work represents meaningful advances in making exoskeleton control more reliable, adaptive, and clinically viable.