Papers
1
Total Citations
4
H-Index
1
About
Daniel Geha is a control systems researcher whose work focuses on the intersection of nonlinear dynamics, robotics, and event-triggered control strategies. His most notable contribution addresses the challenging problem of trajectory tracking in robot manipulators under state constraints. In his highly cited 2022 paper, Geha introduced a sliding mode event-triggered control framework that employs time-varying control gains to ensure constraint satisfaction while minimizing unnecessary control updates. This approach is particularly significant for practical robotics applications, where communication bandwidth and computational resources are limited. By integrating Lyapunov-based stability analysis with event-triggered mechanisms, Geha demonstrated how to maintain robust tracking performance even in the presence of external disturbances. His work bridges theoretical control design with real-world implementation challenges, offering a systematic method for guaranteeing safety and performance in constrained robotic systems. With 4 citations on his flagship paper, Geha’s research is gaining traction among control engineers and roboticists seeking efficient, robust solutions for autonomous manipulation tasks.
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