Atikeh Reza Ahrabi

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About

Atikeh Reza Ahrabi is a researcher specializing in advanced control systems, with a particular focus on intelligent and fractional-order control methodologies applied to complex robotic systems. Her work centers on bridging the gap between classical control theory and modern computational intelligence techniques to address the challenges posed by highly nonlinear, time-varying dynamic systems. Her most notable contribution, published in 2019, presents the design and simulation of a self-tuning fractional order fuzzy PID (FOFPID) controller for robotic manipulator position control. This work tackles the inherent complexities of two-link robotic manipulators — systems characterized by nonlinearity, time-varying behavior, and multiple coupled inputs and outputs — by combining the flexibility of fuzzy logic with the enhanced precision of fractional-order calculus. The self-tuning capability of the proposed controller represents a meaningful advancement over conventional fixed-parameter approaches, offering improved adaptability in real-world control scenarios. With 3 citations, Ahrabi's research has begun attracting attention within the robotics and control engineering community. Her contributions are particularly relevant to students and practitioners working on intelligent control, mechatronics, and autonomous robotic systems, providing a valuable framework for designing robust controllers in demanding engineering applications.