Regularized Reduced Order Models for Control of Navier-Stokes Equations

Explore regularized reduced order models for controlling Navier-Stokes equations in this comprehensive talk by Francesco Ballarin from Università Cattolica del Sacro Cuore. Delve into numerical stabilization techniques for full order models and reduced order models in convection-dominated flows. Examine two regularization approaches: an evolve-filter-relax regularized ROM applied to feedback control problems, and a novel regularized ROM based on approximate deconvolution. Gain insights into addressing challenges in flow simulation and control for achieving desired target configurations. Learn from Ballarin's extensive research experience in parametrized problems in computational fluid dynamics and his contributions to open-source software development in numerical analysis and scientific computing.

DDPS | ‘Regularized reduced order models for control of Navier-Stokes equations’