M. A Mohammed Eltoum

King Fahd University of Petroleum and Minerals

Papers

Total Citations

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About

Dr. M. A Mohammed Eltoum is a control systems researcher whose work centers on robust and adaptive control strategies for nonlinear robotic systems. His primary research area involves the design of advanced sliding mode controllers, with a particular focus on enhancing trajectory tracking and stability in multi-input multi-output (MIMO) manipulators. His most cited paper, "Adaptive sliding mode control design for the 2-DOF robot arm manipulators" (2019), introduces an adaptive sliding mode controller (ASMC) grounded in Lyapunov theory. This work addresses critical challenges in robotic arm control, such as system uncertainties and nonlinearities, by ensuring robust trajectory tracking without requiring precise system models. With 10 citations, this paper demonstrates his contribution to improving the reliability and performance of robotic manipulators in uncertain environments. Dr. Eltoum’s research is particularly valuable for applications in industrial automation and advanced robotics, where precision and adaptability are paramount. His work continues to influence the development of more resilient control systems for complex mechanical systems.