Transport and logistics

The design of new aircraft involves comprehensive testing of stability and control performance across a range of test conditions defining a flight envelope and then identifying the design properties that maximise performance. Ensuring that this testing has been comprehensive is critical to securing trust in the final product. This is primarily a black-box optimisation problem that requires the integration of multi-fidelity data sources with differing levels of uncertainty. This project aims to advance techniques suitable for exploring complex experimental design spaces, using sample data to reduce uncertainty in surrogate models while optimising performance in an uncertain environment.

OPTIMA CIs: Professor Kate Smith-Miles

OPTIMA Research Fellow: Andres Munoz

OPTIMA PhD Student: Nico Thio