Iman Ghasemi
Papers
1
Total Citations
27
H-Index
1
About
Dr. Iman Ghasemi is a leading researcher in advanced control systems, with a focus on nonlinear dynamics, robotics, and fractional-order control theory. His most cited work introduces a groundbreaking sliding mode-based fractional-order iterative learning control (ILC) for nonlinear robot manipulators under bounded disturbances. This paper, with 27 citations, marks the first integration of sliding mode control with fractional-order ILC, offering enhanced robustness and precision in uncertain environments. Dr. Ghasemi’s contributions have significant implications for industrial robotics and automation, where high-performance tracking under disturbances is critical. His research bridges classical control methods with modern fractional calculus, opening new avenues for adaptive and learning-based systems. Beyond this seminal work, his broader portfolio addresses stability, convergence, and real-time implementation challenges, making him a notable figure in the control engineering community. Dr. Ghasemi’s innovative approach continues to inspire students and researchers exploring the frontiers of nonlinear and fractional-order control.
Research Focus
Key Achievements
Top Papers
- 1