Noureddine Batel

Papers

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About

Noureddine Batel is a researcher specializing in advanced control systems for autonomous robotics, with a particular focus on wheeled mobile robots (WMRs). His work centers on developing intelligent, hybrid control strategies that combine classical and modern techniques to solve complex trajectory tracking problems. Batel’s major contributions include the design of an optimal backstepping fractional order PID (FOPID) controller, which leverages meta-heuristic algorithms for parameter tuning—a notoriously difficult task. This work, published in 2022, has already garnered 11 citations, reflecting its significance in the field. In a related study, he proposed a novel ANFIS-PID controller integrated with backstepping techniques, comparing the performance of various meta-heuristic algorithms to optimize the system. That paper has accumulated 5 citations. Batel’s research is notable for its practical impact on improving the precision and robustness of autonomous mobile robots, addressing real-world challenges in navigation and control. His innovative use of fractional calculus and neuro-fuzzy systems marks him as a promising contributor to the next generation of intelligent robotic control.