Research Focus:
The PhD project focuses on developing nonlinear control and guidance algorithms for unmanned aerial vehicles (UAVs). His research aims to enhance autonomy, stability, and energy efficiency for UAVs operating under uncertain and dynamic environmental conditions. Advanced control approaches such as nonlinear model predictive control (NMPC) and adaptive guidance are being explored to ensure robust and reliable flight performance.
Key Technologies:
Nonlinear control, model predictive control, adaptive guidance, UAV navigation, embedded systems.
Applications:
Autonomous aerial mapping, environmental monitoring, and cooperative drone missions.
Research Group:
Drone Mechatronics
Supervisor:
Prof. Jerome Jouffroy
Duration:
2025–2028