Mohammad Ali Nazari
Papers
2
Total Citations
210
H-Index
2
About
Mohammad Ali Nazari is a researcher whose work centers on advanced control systems, robotics, and fractional-order methodologies. His most influential contributions focus on addressing the fundamental challenges of controlling robotic manipulators — systems inherently complicated by nonlinearities, model uncertainties, and external disturbances that can degrade closed-loop performance. Nazari's most cited work, "Fractional-Order Adaptive Backstepping Control of Robotic Manipulators in the Presence of Model Uncertainties and External Disturbances" (2016), has accumulated 134 citations and demonstrates his expertise in combining fractional calculus with adaptive control strategies to achieve finite-time stabilization of n-degree of freedom robotic systems. This contribution is particularly significant as it offers robust solutions to real-world control challenges that traditional integer-order methods struggle to handle effectively. His second highly cited paper, focusing on adaptive backstepping control through combined state augmentation (76 citations), further solidifies his reputation in intelligent, model-based control design for complex robotic architectures. Together, these works have collectively garnered over 200 citations, establishing Nazari as a meaningful contributor to the robotics control community and providing foundational frameworks that researchers and engineers continue to build upon when designing resilient, adaptive robotic control systems.
Research Focus
Key Achievements
Top Papers
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