Masoud Imen

Islamic Azad University, Science and Research Branch

Papers

Total Citations

H-Index

About

Masoud Imen is a researcher in robotics and intelligent control systems, with a primary focus on nonlinear trajectory tracking and autonomous navigation. His most cited work, "Tracking control of mobile robot using ANFIS" (2011, 42 citations), addresses a critical challenge in nonholonomic mobile robotics: achieving precise path following under dynamic curvature constraints. In this study, Imen introduces a novel cascade control architecture, where a fuzzy controller generates a variable that feeds into an adaptive neuro-fuzzy inference system (ANFIS), enabling the robot to anticipate and compensate for future path curvature. This approach significantly improves tracking accuracy and stability, offering a practical solution for real-world autonomous systems. Imen’s contributions bridge the gap between classical control theory and intelligent, data-driven methods, making his work influential among researchers in mobile robotics and adaptive control. His research continues to inspire advancements in autonomous vehicle navigation and intelligent robotic systems.