Extreme Aerodynamic Flows: Analysis and Control

This lecture delves into extreme aerodynamic flows, focusing on unsteady aerodynamics, vortex-airfoil wake interactions, and the application of data-driven approaches to understand and control extreme aerodynamics. The instructor discusses the challenges of modeling and controlling nonlinear flows, the use of resolvent analysis for flow control, and the potential of machine learning for nonlinear data compression. Various techniques such as neural networks, compressed sensing, and randomized SVD are explored in the context of flow control and dynamics analysis. The lecture concludes by highlighting the importance of understanding atmospheric turbulence and the potential applications of the developed tools and theories in unsteady fluid mechanics.