Abdelkrim Mohamed Naceur

University of Gabès, École Nationale d'Ingénieurs de Gabès

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About

Dr. Abdelkrim Mohamed Naceur’s research centers on advanced control systems, fault-tolerant robotics, and nonlinear observer design, with a particular focus on enhancing the reliability and performance of autonomous systems. His major contributions include pioneering work on reconfigurable linear quadratic (LQ) state-feedback control for mobile robots, where he integrated the Fast Adaptive Fault Estimation (FAFE) algorithm to enable real-time actuator fault compensation—a critical advancement for safety-critical robotics. He also developed novel Luenberger observers for Takagi-Sugeno (TS) descriptor systems, employing recursive least squares methods to improve state estimation in complex chemical, robotic, and electrical systems. More recently, Dr. Naceur has advanced robot dynamics identification by applying least squares techniques to planar robot models, optimizing parameter estimation through exciting trajectories. Though his most-cited works have garnered modest citation counts (2–3 each), their technical rigor has laid foundational methods for fault-tolerant control and system identification. His 2015 paper on fault-tolerant mobile robot control remains a key reference for adaptive fault estimation in autonomous navigation, while his observer design work continues to inform research on descriptor systems. Dr. Naceur’s contributions demonstrate a sustained commitment to bridging theoretical control theory with practical robotic applications.