7 citations · 7 across the 3 of their papers we have counts for
4 papers
Real-Time Disturbance-Aware Koopman Model Predictive Control for Quadrotors in Spatially Varying Winds
Stella Kombo, Masih Haseli, Alejandro A. Stefan-Zavala +3
Reliable quadrotor flight in disturbed environments requires predictive models that remain accurate as unmodeled aerodynamic effects change during deployment. We introduce a distur…
Wind-Informed Rapid Flight-Planning in Complex Urban Topologies via Machine Learning and Experimental Validation
Peter I. Renn, Alejandro A. Stefan-Zavala, Julian Humml +8
Advanced air mobility operations hold the potential to enhance and expand regional transportation of both people and goods in populated areas. However, hazardous flight conditions…
Data-driven surrogate models for forecasting experimentally measured fluid flows
Peter I. Renn, Emily H. Palmer, Cong Wang +1
Data-driven modeling shows significant promise for faster-than-real-time forecasting of fluid flows. For real-world engineering applications (e.g., flow control), models must conte…
Forecasting subcritical cylinder wakes with Fourier Neural Operators
Peter I Renn, Cong Wang, Sahin Lale +3
We apply Fourier neural operators (FNOs), a state-of-the-art operator learning technique, to forecast the temporal evolution of experimentally measured velocity fields. FNOs are a…