Jochem De Schutter

Jochem De Schutter is a Researcher at the University of Freiburg's Laboratory for Systems, Control and Optimization. He holds a master's degree in Mechanical Engineering and Philosophy from KU Leuven, and completed his PhD in 2024 under Prof. Moritz Diehl. His research focuses on optimal control methods for energy systems, particularly airborne wind energy (AWE) and nonlinear periodic systems.

Key areas of expertise include trajectory optimization, economic value analysis of AWE farms, robustness optimization, and efficient numerical methods for model predictive control (MPC). He has developed the AWEbox framework for simulating multi-aircraft AWE systems and contributed to tools like TuneMPC for MPC tuning.

Teaching roles include lecturing on Model Predictive Control for Renewable Energy Systems (Master's, 2023) and serving as teaching assistant for Systems and Control courses since 2015. His work integrates advanced control theory with real-world energy applications, emphasizing scalability and computational efficiency.

Research has been published in journals like Optimal Control Applications and Methods, IEEE Control Systems Letters, and Energies. He collaborates closely with institutions like KU Leuven and focuses on applied systems engineering for renewable energy solutions.