Data-Driven Nonlinear Aeroelastic Models of Morphing Wings for Control

Explore a 21-minute video presentation on data-driven reduced-order aeroelastic modeling techniques for morphing wings and their application in model predictive control. Delve into Urban Fasel's explanation of dynamic mode decomposition with control (DMDc) and its effectiveness in creating nonlinear models for complex aerodynamic systems. Gain insights into the potential of morphing wings in aerospace engineering, supported by references to published research and GitHub repositories. Learn about the CMASLab's work on morphing wings and the SHARPy simulation toolbox. Follow the presentation's structure, covering introduction, morphing wings concepts, modeling approaches, dynamic mode composition, DMDc predictive control, and a comprehensive summary.