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We use convex optimization to rethink the engineering design process.
Convexity helps engineering teams develop a deep understanding of system tradeoffs by providing mathematical guarantees while solving for thousands of decision variables in seconds.
In our modeling framework GPkit, convexity serves as a shared design language. GPkit and the design process we've built around it are integral to the conception and design of the MIT Jungle Hawk Owl, an unmanned aircraft designed to stay aloft for five days.
We incorporate new insights and algorithms into these tools as patterns of their use mature, and maintain an open-source library of reusable models. If you have questions or would like to get involved, send us an email!
- GPkit : disciplined object-oriented geometric programming
- GPfit : algorithms for data-driven design optimization
- GPlibrary : subsystem models for rapid prototyping
- robust : modeling framework for robust GPs and SPs
- STOL and eVTOL on-demand aviation
- solar long-endurance aircraft
- Jungle Hawk Owl design and prototyping
- comparison of gas-/solar-powered long-endurance UAVs
- verified 1D core + fan flowpath turbofan engine
- commercial airliner models comparable to TASOPT