Mohamed Fayed

Papers

Total Citations

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About

Mohamed Fayed is a researcher specializing in advanced control systems, robotics, and automation, with a particular focus on parallel manipulators and precision positioning technologies. His most-cited work, "Design and Simulation of Fuzzy-Adaptive-PID Controller for Positioning of Stewart Platform Using Electric Linear Actuators" (2023), introduces an innovative control strategy that combines fuzzy logic with adaptive PID algorithms to enhance the accuracy and stability of Stewart platforms—six-degree-of-freedom parallel manipulators critical to industrial automation, robotics, radar systems, and aerospace engineering. By addressing the challenges of precise object positioning in space, Fayed’s contribution offers a practical solution for improving the performance of electric linear actuators in dynamic environments. Though his citation count is currently modest, his work represents a meaningful step toward more intelligent and adaptive control systems in high-precision applications. Fayed’s research bridges theoretical control engineering with real-world implementation, making it valuable for students and engineers seeking to advance automation and robotic systems. His focus on fuzzy-adaptive methods highlights a growing trend toward hybrid control approaches in modern engineering.