Yassine Turki

Papers

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About

Yassine Turki is a researcher focused on advanced control systems for mobile robotics, specializing in the intersection of fuzzy logic, optimization algorithms, and fractional-order control. His work addresses the critical challenge of precise trajectory and path tracking for autonomous mobile robots, a fundamental problem in robotics and automation. Turki’s major contributions include the development of hybrid control schemes that combine fuzzy logic with optimized PID and fractional-order PID (FOPID) controllers. In his 2018 paper on fuzzy fine-tuning of an optimized PID control scheme, he integrated particle swarm optimization (PSO) to tune controller parameters offline, enhancing robustness for trajectory tracking. His subsequent work on adaptive fuzzy FOPID control further advanced the field by employing genetic algorithms to optimize FOPID parameters, improving path tracking accuracy and adaptability. Though his most-cited papers currently hold 2 citations each, they represent foundational steps in merging computational intelligence with classical control theory. Turki’s research is particularly notable for its practical orientation, offering efficient, robust design methods that bridge theoretical optimization and real-world robotic applications, making his work relevant for students and engineers developing autonomous navigation systems.