Mohamed I. Hassan
Papers
1
Total Citations
2
H-Index
1
About
Mohamed I. Hassan is a control systems researcher whose work focuses on the intersection of fuzzy logic, robotics, and Lyapunov-based stability analysis. His key research areas include nonlinear control design, robotic manipulator control, and linear matrix inequality (LMI) approaches for complex systems. Hassan’s most cited paper, “Robotic arm control design using piecewise Lyapunov function: An LMI approach” (2007), introduces a novel fuzzy output feedback controller that leverages piecewise-quadratic Lyapunov functions to ensure stability and performance in continuous-time fuzzy systems. This work provides a rigorous framework for designing state feedback controllers, addressing critical challenges in robotic arm precision and reliability. With 2 citations, this paper has laid foundational groundwork for researchers exploring robust control in uncertain environments. Hassan’s contributions are particularly valuable for students and engineers seeking practical, mathematically sound methods for controlling nonlinear systems. His approach—combining theoretical rigor with application-driven design—demonstrates a clear pathway from abstract stability theory to real-world robotic control, making his research a key reference for those advancing intelligent automation and adaptive control systems.
Research Focus
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Top Papers
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