Shaymaa Jafe'er Al-Zangana
Papers
1
Total Citations
4
H-Index
1
About
Shaymaa Jafe'er Al-Zangana is a researcher specializing in robotics, control systems, and artificial intelligence, with a particular focus on the navigation and control of nonholonomic mobile robots. Her most influential work, "Design of an Adaptive Neural Predictive Nonlinear Controller for Nonholonomic Mobile Robot System Based on Posture Identifier in the Presence of Disturbance" (2020), introduces a sophisticated control architecture that integrates adaptive neural networks with predictive control to enable robust trajectory tracking under continuous and non-continuous gradients, even in the presence of disturbances. This contribution addresses a critical challenge in autonomous robotics: maintaining precise motion control despite environmental uncertainties. By combining kinematic and dynamic models with a posture identifier, Al-Zangana's approach enhances the stability and adaptability of wheeled robots, offering a practical solution for real-world applications in logistics, exploration, and service robotics. With 4 citations, her work is gaining recognition for its innovative fusion of neural prediction and nonlinear control. Al-Zangana's research holds promise for advancing autonomous systems, making her a notable emerging voice in the field of intelligent robotics and control engineering.
Research Focus
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Top Papers
- 1