Sami Allou

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About

Sami Allou is a researcher focused on intelligent control systems for autonomous electric vehicles, with particular expertise in path-tracking and fault-tolerant navigation. His most-cited work, "Fuzzy logic controller for autonomous vehicle path tracking" (2017, 18 citations), addresses the challenge of trajectory following for four-wheel electromechanical vehicles. In this study, Allou developed a fuzzy logic controller that simultaneously manages speed and steering commands, enabling precise trajectory adherence during autonomous operation. His subsequent research, "Fault-Tolerant Path-Tracking Control with PID Controller for 4WS4WD Electric Vehicles" (2020, 3 citations), extends this work by incorporating PID-based control strategies to maintain path-tracking performance even when individual wheel systems experience failures. Allou's contributions are significant for advancing the reliability and safety of autonomous ground vehicles, particularly in applications requiring robust navigation under uncertain conditions. His work bridges fuzzy logic and classical control theory, offering practical solutions for electric vehicle autonomy that are relevant to researchers in robotics, control systems, and intelligent transportation.