Mohamed Allagui
Papers
2
Total Citations
10
H-Index
2
About
Mohamed Allagui is a control systems engineer whose research focuses on the intersection of fractional calculus and robust motion control, particularly for robotic applications. His major contributions lie in developing novel tuning methodologies for fractional order controllers in multi-input multi-output (MIMO) systems. Specifically, Allagui has pioneered the integration of fractional order PD controllers with Quantitative Feedback Theory (QFT) to enhance robustness in complex motion control tasks. His most cited work, "Robust Fractional Order Controller and Prefilter Tuning in MIMO Motion Control" (2018, 8 citations), establishes a foundational framework for this approach. Building on this, his 2020 paper applies these techniques to the practical control of a SCARA robot, demonstrating real-world viability. Though his citation counts are modest, Allagui's work is significant for advancing the precision and stability of robotic manipulators, offering a bridge between theoretical fractional control and industrial automation. His research is particularly valuable for students and engineers seeking robust, high-performance control solutions in robotics and mechatronics.
Research Focus
Key Achievements
Top Papers
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