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About

Younes Menni is a researcher specializing in advanced control systems for mobile robotics, with a particular focus on trajectory tracking and path-following problems. His work centers on the design and optimization of hybrid controllers that combine classical and intelligent control techniques, including fractional order proportional integral derivative (FOPID) controllers, adaptive neuro-fuzzy inference systems (ANFIS), and backstepping methods. Menni’s major contributions include the development of optimal backstepping-FOPID controllers for wheeled mobile robots, where he addresses the challenging task of parameter tuning using hybrid meta-heuristic optimization algorithms. His research has practical significance, as demonstrated by his experimental study on low-cost hardware implementation of these controllers on a self-designed mobile robot prototype. With over 18 citations across his most-cited papers, Menni’s work is gaining recognition for bridging the gap between theoretical control design and real-world application. His 2022 paper on optimal backstepping-FOPID controller design has received 11 citations, highlighting its impact on the field. Menni’s research is particularly valuable for students and engineers interested in intelligent control, robotics, and the practical deployment of advanced algorithms on cost-effective platforms.