Mustafa Wassef Hasan
Papers
6
Total Citations
118
H-Index
6
About
Mustafa Wassef Hasan is a leading researcher in the control and autonomy of underwater robotic vehicles (URVs), with a focused expertise in disturbance rejection, path tracking, and system stabilization. His work is pivotal in addressing the core challenges of operating autonomous underwater vehicles (AUVs) in unpredictable, noisy, and obstacle-filled environments. Hasan’s major contributions lie in the fusion of advanced control theory with computational intelligence. He has pioneered the design of adaptive fuzzy and neural network-based controllers, including innovative nonlinear PID and fractional-order PID (FOPID) architectures. Notably, his 2022 paper on an adaptive fuzzy nonlinear PID controller for disturbance rejection has garnered 60 citations, underscoring its impact on the field. His 2023 work on an adaptive neural network with nonlinear FOPID further advances robust control under uncertainty. Hasan has also applied metaheuristic optimization, such as the improved whale optimization algorithm, to optimize controller performance. His research consistently demonstrates how intelligent controllers can overcome sensor noise and external disturbances to achieve precise depth and motion control for 6-DOF URVs, making him a key figure in advancing the reliability and autonomy of underwater robotics.
Research Focus
Key Achievements
Top Papers
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- 5An Adaptive Nonlinear PID Design for 6-DOF Underwater Robotic Vehicle8 citations · 2022
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