Mohammad Fuad Hassan

Papers

Total Citations

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About

Mohammad Fuad Hassan’s research centers on the control and observation of robotic manipulators, with a particular focus on rigid-link systems. His most influential work, “An adaptive observer for robots with persistent excitation” (1996), introduces a novel adaptive state observer that parametrizes the robot dynamic model using estimated states and parameters. This approach yields a nominal model with linear and quadratic perturbation terms, advancing the theoretical foundation for state estimation under persistent excitation. With 6 citations, this paper remains a reference for adaptive control in robotics. In “Linear state feedback regulator for rigid link manipulators” (1996), Hassan further explores linear feedback strategies to achieve stable regulation. Though his citation counts are modest, his contributions are notable for their mathematical rigor and focus on fundamental challenges in robot dynamics and control. Hassan’s work is particularly valuable for researchers seeking to understand adaptive observation and feedback regulation in nonlinear mechanical systems, offering clear frameworks that bridge theory and practical implementation.