The Fasel Lab at Imperial studies how next-generation flight systems are designed and controlled to achieve greater efficiency, agility, and robustness. Inspired by the exceptional flight capabilities of birds that maintain high performance in uncertain, rapidly changing conditions, we develop engineered systems that better exploit their natural dynamics and environmental interactions.
We combine scientific machine learning, control, and optimization to design and build such systems, with a central focus on integrating adaptive wing structures that can actively change shape and mechanical properties in flight. Our work directly addresses key challenges in renewable energy, sustainable aviation, and autonomous flight. The group is led by Urban Fasel, Associate Professor in Aeronautics at Imperial.
Research projects
Exploiting statistical methods to robustify the sparse identification of nonlinear dynamics (SINDy) algorithm
Data-driven methods for model discovery and their application for nonlinear model predictive control.
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