Fatih Anavi

Papers

Total Citations

H-Index

About

Fatih Anavi is a researcher specializing in control systems, robotics, and fuzzy logic, with a focus on the stabilization of complex, multi-link robotic structures. His most cited work, "A hybrid Fuzzy approach of different controllers to stabilize a 3-link swinging robotic (Robogymnast)" (2022, 5 citations), introduces an innovative hybrid control strategy that tunes a Fuzzy logic controller for both a Linear Quadratic Regulator (LQR) and a proportional derivative (PD) controller. This approach is applied to the Robogymnast, a robotic system that mimics the dynamic movements of a gymnast on the high bar, addressing the challenging problem of stabilizing underactuated, nonlinear systems. Anavi’s contribution lies in demonstrating how fuzzy logic can enhance the performance of classical controllers, offering a more adaptive and robust solution for real-time control. His work has implications for advanced robotics, humanoid motion, and automation, providing a foundation for future research in intelligent control. With a growing citation record, Anavi is establishing himself as a promising voice in the intersection of soft computing and mechanical system design, inspiring students and engineers to explore hybrid control methodologies.