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About

Najah Yousfi Allagui is a leading researcher in mobile robotics and advanced control systems, specializing in the development of intelligent algorithms for autonomous navigation and motion control. Her work focuses on enhancing the precision and robustness of differential drive mobile robots through innovative hybrid control strategies, particularly by integrating fuzzy logic, fractional-order calculus, and classical PID controllers. Among her most cited contributions, she introduced an artificial fuzzy-PID gain scheduling algorithm (2021, 15 citations) that significantly improves motion control in nonlinear robotic platforms. She also pioneered the use of fuzzy PI controllers for goal attainment and trajectory tracking (2018, 12 citations) and combined fractional-order PI with fuzzy logic for robust autonomous navigation (2019, 10 citations). Her earlier work on kinematic PI controllers for navigation and trajectory tracking (2017, 8 citations) laid the groundwork for these advances. Additionally, Allagui has explored non-diagonal multivariable fractional prefilters for motion control, contributing to robust CRONE control design. With a cumulative impact of over 50 citations, her research is highly relevant for students and engineers seeking to understand and implement cutting-edge control solutions for autonomous mobile robots.