Mustafa Yahya Hassan

Papers

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About

Mustafa Yahya Hassan is a rising researcher in advanced robotics and intelligent control systems, whose work focuses on the modeling and control of highly nonlinear, multi-input multi-output (MIMO) robotic manipulators. His most cited paper, "Modeling and Control of a 3DOF Robot Manipulator Using Artificial Fuzzy-Immune FOPID Controller" (2024, 7 citations), introduces a novel hybrid control strategy that combines fuzzy logic, artificial immune algorithms, and fractional-order PID (FOPID) controllers. This approach addresses the long-standing challenge of stabilizing complex, coupled robotic systems, offering improved precision and adaptability over conventional methods. Hassan’s contributions are particularly notable for bridging bio-inspired computation with fractional calculus, providing a robust framework for real-time control in industrial automation. His work has already garnered early citations, signaling its relevance to researchers tackling similar control problems. By integrating artificial immune principles with fuzzy-FOPID designs, Hassan is helping to push the boundaries of what is possible in autonomous robotic manipulation, making his research a valuable resource for students and engineers seeking to develop more intelligent, responsive robotic systems.