Aliaa Mohamed Sadek
Papers
1
Total Citations
2
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1
About
Dr. Aliaa Mohamed Sadek is a control systems researcher whose work focuses on intelligent control strategies for nonlinear and underactuated robotic systems. Her key research areas include adaptive neural network control, backstepping control design, and the application of Elman neural networks to address mismatched uncertainties in complex dynamical systems. In her notable 2018 paper, "Design of a Backstepping Controller based on an Adaptive Elman Neural Network for a Two-Link Robot System," Dr. Sadek introduced a novel BSAENN framework that effectively compensates for perturbations in nonlinear robotic systems by integrating adaptive neural network learning with backstepping control theory. This work, which has garnered 2 citations, demonstrates her ability to bridge theoretical control methods with practical robotic applications, particularly for underactuated systems where traditional approaches often fall short. Her contributions are significant for advancing robust control in robotics, offering solutions that enhance system stability and performance under uncertain conditions. Dr. Sadek’s research continues to inspire further exploration into intelligent adaptive control for autonomous systems.
Research Focus
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Top Papers
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