Morsy El Gezery
Papers
1
Total Citations
3
H-Index
1
About
Morsy El Gezery is a control systems researcher whose work focuses on advancing precision and stability in robotic manipulators. His primary research areas include iterative learning control (ILC), state-dependent Riccati equation (SDRE) and state-dependent differential Riccati equation (SDDRE) control design, and hybrid control strategies for parallel delta robots. His most notable contribution is a 2025 paper proposing a hybrid control framework that augments SDRE/SDDRE optimal control with iterative learning and PD control to significantly enhance trajectory tracking accuracy and error convergence in parallel delta robots. This work addresses critical challenges in high-speed, high-precision automation applications. With 3 citations already, his research is gaining traction among robotics and control engineers seeking robust, optimal solutions for industrial manipulators. El Gezery’s integrated approach—combining model-based optimal control with learning-based error correction—represents a meaningful step toward achieving both stability and high performance in complex robotic systems.
Research Focus
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Top Papers
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