Ahmed Redha Mahlous
Papers
3
Total Citations
17
H-Index
2
About
Ahmed Redha Mahlous is a researcher specializing in intelligent control systems, robotics, and computational optimization, with a particular focus on developing advanced controllers for robotic manipulators. His work sits at the intersection of artificial intelligence and classical control theory, pioneering hybrid control architectures that combine neural networks with PID and fractional-order PID (FOPID) controllers to address real-world challenges in robotic trajectory tracking and position control. Mahlous has made significant contributions by leveraging bio-inspired metaheuristic optimization algorithms — including the Zebra Optimization Algorithm, Bat Optimization, and African Vultures Optimization — to tune and enhance these hybrid controllers, enabling robust performance in the presence of external disturbances, uncertain parameters, and nonlinear system dynamics. His work directly targets multi-input, multi-output robotic systems, where conventional control approaches frequently fall short in accuracy and stability. His most cited work, published in 2024 and accumulating 13 citations within its first year, demonstrates the effectiveness of neural network-augmented FOPID controllers for two-link rigid robot manipulators. With a growing publication record across multiple high-impact studies, Mahlous is establishing himself as a promising contributor to the fields of intelligent robotics and metaheuristic-driven control engineering, offering practical solutions for next-generation autonomous systems.
Research Focus
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Top Papers
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