Papers
4
Total Citations
66
H-Index
4
About
Ali Fayazi is a control systems researcher whose work centers on advanced robotics control, with a particular focus on fractional-order control theory, sliding mode control, and flexible robotic manipulators. His research addresses one of the most persistent challenges in robotics: achieving precise, robust control of flexible robot arms that must interact with uncertain or unknown environments. Fayazi's most impactful contribution, garnering 24 citations, introduced a fractional-order sliding mode controller paired with a disturbance observer to solve the complex impedance control problem for single-link flexible robots — work that is especially valuable for applications requiring safe human-robot interaction. His subsequent research on precise tip-positioning control (22 citations) further demonstrated the practical advantages of fractional-order sliding mode approaches in handling parameter variations such as payload changes and viscous friction. Earlier in his career, Fayazi pioneered the integration of fuzzy logic with fractional-order sliding mode control for flexible joint manipulators, publishing two complementary studies in 2011 that collectively earned 20 citations. These works established a unified framework combining the robustness of sliding mode control with the adaptability of fuzzy logic systems. His sustained focus on flexible manipulator control positions him as a meaningful contributor to the field of intelligent, robust robotics control systems.
Research Focus
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