Research Focus
My research centers on control systems, with a particular interest in Model Predictive Control, adaptive control, and disturbance rejection. I apply these techniques to address challenges in fields like aerospace, robotics, and mechatronics.
Nonlinear Control Systems
A significant portion of my work involves developing control strategies for nonlinear systems. For example, I contributed to a project on Model Predictive Control for nonlinear systems, aiming to create robust and efficient controllers for complex, dynamic environments.
Vibration Control
I've also researched adaptive control methods for mitigating vibrations in helicopter systems. This work focused on enhancing system performance, reliability, and safety through vibration reduction.
Robust and Adaptive Control
My research extends to robust control design, observer design, and system identification. These areas are essential for developing control systems capable of handling uncertainties, disturbances, and changing system parameters.
Future Directions
I am interested in exploring the intersection of machine learning and control systems to create even more adaptive, robust, and intelligent control solutions.