Mojtaba Masoumnezhad
Papers
1
Total Citations
18
H-Index
1
About
Mojtaba Masoumnezhad is a leading researcher in advanced control systems, specializing in fractional-order control, sliding mode techniques, and bio-inspired optimization for robotic applications. His most influential work introduces a Robust Hybrid Fractional Order Proportional Derivative Sliding Mode Controller for robot manipulators, enhanced by an Extended Grey Wolf Optimizer. This novel approach significantly improves robustness against system uncertainties and external disturbances, achieving superior tracking performance in complex robotic systems. With 18 citations, this foundational paper demonstrates his ability to bridge theoretical control design and practical implementation. Masoumnezhad’s research addresses critical challenges in nonlinear dynamics and precision control, offering innovative solutions that reduce chattering and enhance stability. His work is widely recognized for its impact on intelligent automation and mechatronics, making him a notable contributor to the field of fractional-order control and optimization-driven robotics.
Research Focus
Key Achievements
Top Papers
- 1