Mohammad Sayad Haghighi

Papers

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About

Mohammad Sayad Haghighi is a researcher specializing in intelligent control systems, with a particular focus on nonlinear dynamics and robotic manipulators. His work addresses the fundamental challenge of designing robust controllers for uncertain nonlinear systems, a critical area in modern robotics and automation. His most cited paper, "Design Adaptive Fuzzy Inference Controller for Robot Arm" (2014), has garnered 7 citations and pioneers the use of adaptive fuzzy logic to enhance stability and performance in robot arm control, overcoming limitations of classical methods. Building on this, his 2015 study "Intelligent Model-Reference Method to Control of Industrial Robot Arm" (3 citations) refines computed torque control (CTC) by integrating intelligent model-reference strategies, offering a robust solution for highly nonlinear systems under parametric uncertainty. Sayad Haghighi’s contributions bridge theoretical control engineering and practical robotics, providing frameworks that improve precision and adaptability in industrial applications. His work is particularly notable for advancing non-classical control paradigms, making him a valuable reference for students and researchers exploring adaptive and intelligent control in complex mechanical systems.