Abolfazl Ranjbar Noei
Mazandaran University of Science and Technology, Babol Noshirvani University of Technology
Papers
3
Total Citations
31
H-Index
2
About
Abolfazl Ranjbar Noei is a leading researcher in advanced control systems, specializing in fractional-order iterative learning control (ILC) and robust control for robotic manipulators. His work bridges theoretical innovation with practical implementation, addressing critical challenges in nonlinear systems under uncertainty. His most influential paper, "Sliding mode based fractional-order iterative learning control for a nonlinear robot manipulator with bounded disturbance" (2016, 27 citations), pioneered the integration of sliding mode control with fractional-order ILC—a first in the field—enabling precise trajectory tracking despite disturbances. This contribution has shaped subsequent research in adaptive and robust control. He further advanced the field with "Intelligent fractional order iterative learning control using feedback linearization for a single-link robot" (2017), introducing optimal fractional-order derivatives via biogeography-based optimization. His recent work, "Finite-time robust state feedback control for flexible joint robotic manipulators in the presence of matched and mismatched uncertainties with experimental validation" (2025), demonstrates his commitment to real-world validation, achieving finite-time stability in complex robotic systems. With a cumulative citation impact reflecting growing recognition, Ranjbar Noei’s research continues to inspire new approaches in fractional calculus, iterative learning, and nonlinear control—essential reading for students and researchers in robotics and automation.
Research Focus
Key Achievements
Top Papers
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