Nasr A. Elkhateeb
Cairo University, Modern Academy for Engineering and Technology
Papers
2
Total Citations
35
H-Index
2
About
Nasr A. Elkhateeb is a researcher in control systems and robotics, with a focus on advanced control strategies for robotic manipulators. His work centers on developing intelligent, adaptive controllers to improve the stability, precision, and trajectory tracking of complex nonlinear systems—particularly two-degree-of-freedom (2DOF) robotic arms. A key contribution is his application of bio-inspired optimization algorithms, such as the Artificial Bee Colony (ABC) algorithm, to design optimal PID controllers, as demonstrated in his most-cited paper (31 citations). More recently, he has advanced the field by introducing fractional-order adaptive PID controllers, using techniques like exponential forgetting recursive least squares to enhance real-time performance and robustness. This work, published in 2025, reflects his ongoing commitment to pushing the boundaries of adaptive and fractional-order control. With a growing citation record, Elkhateeb’s research bridges classical control theory and modern computational intelligence, offering practical solutions for high-precision robotics. His contributions are particularly relevant for researchers and engineers working on autonomous systems, industrial automation, and intelligent control design.
Research Focus
Key Achievements
Top Papers
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- 2