Seyed Mohammad Hashem Zadeh
Papers
1
Total Citations
34
H-Index
1
About
Seyed Mohammad Hashem Zadeh is a researcher specializing in robotics, control systems, and optimization under uncertainty. His work focuses on developing robust control strategies for robotic manipulators, particularly through the integration of sliding mode control with intelligent optimization algorithms. In his most-cited paper, "Optimal sliding mode control of a robot manipulator under uncertainty using PSO" (2016), he introduced a novel approach that leverages particle swarm optimization (PSO) to tune sliding mode controllers, enhancing their performance in the presence of system uncertainties and disturbances. This work, with 34 citations, demonstrates his ability to bridge theoretical control methods with practical robotic applications. Hashem Zadeh’s contributions have implications for improving the precision and reliability of robotic systems in manufacturing, surgery, and autonomous operations. His research is recognized for its clarity in addressing real-world challenges, making it a valuable resource for students and engineers exploring adaptive control and optimization in robotics.
Research Focus
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Top Papers
- 1