A. Ghahramani
Papers
1
Total Citations
8
H-Index
1
About
A. Ghahramani is a researcher in control systems and robotics, with a focus on predictive control algorithms for precision motion systems. Their key contributions lie in the development and comparative analysis of Generalized Predictive Control (GPC) and Generalized Incremental Predictive Control (GIPC) for satellite tracking applications. In their most cited work, Ghahramani applied these algorithms to control the X and Y axes of a two-degrees-of-freedom robot—specifically, a High Dynamic Full Motion LEO satellite tracking pedestal. By modeling the system using advanced techniques, they demonstrated the effectiveness of predictive control in achieving accurate and stable satellite tracking under dynamic conditions. This work, cited 8 times, highlights their expertise in bridging theoretical control methods with real-world engineering challenges, particularly in earth station antenna systems. Ghahramani’s research contributes to the broader field of autonomous robotics and satellite communication, offering insights into optimizing tracking performance for low Earth orbit satellites. Their work is valuable for students and researchers interested in predictive control, mechatronics, and aerospace applications.
Research Focus
Key Achievements
Top Papers
- 1