Mohamed I. El-Hawwary

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About

Mohamed I. El-Hawwary is a control systems researcher whose work bridges adaptive control, robotics, and the port-Hamiltonian framework. His research focuses on developing robust control strategies for complex mechanical systems, with particular emphasis on nonlinear dynamics and visual servo control. His most cited work, "Robust Adaptive Fuzzy Control of a Two-Link Robot Arm" (2006, 7 citations), addresses the challenge of controlling robotic manipulators under uncertainty, demonstrating how fuzzy logic can enhance adaptive control performance. In his more recent contribution, "Image-based visual servo control using the port-Hamiltonian approach" (2015, 4 citations), El-Hawwary introduces an innovative control strategy that leverages the energy-based port-Hamiltonian formalism for vision-guided robotics. This work is notable for its mathematical elegance: by employing a change of variables to transform the system into one with a constant mass-inertia matrix, and by incorporating an interaction matrix, he achieves stable visual servo control without the complexity typically associated with image-based methods. His contributions are particularly valuable for researchers working at the intersection of nonlinear control theory and practical robotics applications, offering rigorous yet implementable solutions for real-world systems.