Amjad Jaleel Humaidi

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About

Amjad Jaleel Humaidi is a leading figure in advanced control systems and mechatronics, whose work bridges robust control theory and bio-inspired optimization. His research focuses on the design and implementation of nonlinear controllers for complex, unstable systems, with a particular emphasis on magnetic levitation technology. Humaidi’s major contribution lies in developing a robust control framework that integrates Linear Extended State Observers (LESO) with feedback linearization, significantly enhancing system stability and disturbance rejection. His most-cited work, "Robust control of a magnetic levitation system via LESO-based feedback linearization tuned by modified flood algorithm" (2025, 3 citations), exemplifies this approach by applying a novel metaheuristic—the modified flood algorithm—to optimize controller parameters, achieving superior performance over conventional methods. This paper has quickly garnered attention for its innovative synergy of control theory and evolutionary computation. Beyond this, Humaidi’s broader portfolio addresses challenges in nonlinear dynamics, adaptive control, and real-time implementation, making his research highly relevant for both academic study and industrial applications in precision motion systems and autonomous vehicles. His work continues to inspire new generations of control engineers seeking robust, intelligent solutions.