M. Mahdavi

Papers

Total Citations

H-Index

About

M. Mahdavi is a researcher specializing in intelligent control systems for robotic manipulators, with a focus on handling system uncertainties and physical constraints. Their most-cited work, "Fuzzy Control of an Uncertain Robot Manipulator with Input Constraint" (2019), introduces an adaptive fuzzy dynamic surface control scheme that effectively manages input saturation in n-link robot manipulators. By employing fuzzy logic systems to approximate uncertain dynamics and a hyperbolic tangent function-based saturation model, Mahdavi addresses critical challenges in real-world robotic applications where actuator limits and model inaccuracies are unavoidable. This contribution has garnered 5 citations, reflecting its relevance to researchers working on robust control strategies. Mahdavi’s research bridges theoretical control design and practical implementation, offering solutions that enhance the stability and performance of robotic systems under uncertainty. Their work is particularly valuable for advancing automation in manufacturing, rehabilitation robotics, and autonomous systems, where precise and reliable control is essential.