Dena Hameed Tu'ma
Papers
1
Total Citations
3
H-Index
1
About
Dena Hameed Tu'ma is a control systems researcher whose work focuses on advancing robotic manipulation through robust and adaptive control strategies. Her key research areas include sliding mode control (SMC), adaptive control, and the dynamics of multi-link robotic systems. Her most cited paper, "Performance of 2-Link Robot by utilizing Adaptive Sliding Mode Controller" (2020), addresses a fundamental challenge in robotics: maintaining precise trajectory tracking despite system uncertainties and external disturbances. By integrating adaptive mechanisms with SMC, Tu'ma demonstrates how to preserve the controller’s hallmark insensitivity to bounded matched uncertainties while improving transient performance and reducing chattering—a persistent practical limitation of standard SMC. This work contributes to the broader goal of making advanced control theory more deployable in real-world robotic arms. Although her citation count is still growing, her research sits at the intersection of theoretical rigor and applied robotics, offering valuable insights for students and engineers working on nonlinear control and automation. Her efforts highlight the ongoing refinement of sliding mode techniques for increasingly complex, real-time robotic tasks.
Research Focus
Key Achievements
Top Papers
- 1