Fatih Anayi
Papers
5
Total Citations
33
H-Index
3
About
Fatih Anayi is a researcher specializing in advanced control systems and robotics, with a particular focus on the stabilization and optimization of complex multi-link robotic systems. His work centers on the "Robogymnast," a sophisticated triple-inverted pendulum system that mimics the acrobatic movements of a human gymnast suspended from a high bar — one of the most challenging platforms in control engineering research. Anayi's most significant contributions lie in the comparative analysis and development of control strategies for this high-complexity system. His research systematically evaluates classical approaches such as Linear Quadratic Regulators (LQR) and PID controllers alongside intelligent hybrid methods, most notably Fuzzy-LQR controllers enhanced through optimization algorithms. This progression demonstrates a clear research trajectory toward increasingly sophisticated and adaptive control frameworks. With papers accumulating citations across publications from 2022 and 2023, his work has gathered over 30 citations collectively, reflecting growing interest from the robotics and control engineering community. His most cited work, "Simulating LQR and PID Controllers to Stabilise a Three-Link Robotic System" (2022, 13 citations), has become a notable reference point for researchers working on nonlinear robotic stabilization. Anayi's research offers valuable insights for students and engineers exploring real-world applications of intelligent control in biomimetic robotics.
Research Focus
Key Achievements
Top Papers
- 1Simulating LQR and PID controllers to stabilise a three-link robotic system13 citations · 2022
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