Flow Control

Control of fluid flows is a problem that presents a number of modeling and control design challenges. Fluid flows are infinite-dimensional, nonlinear, and, often, chaotic dynamical systems governed by a set of partial differential equations – the Navier-Stokes (NS) equations – whose solution is computationally intractable for control purposes. For that reason, any attempt in model-based control requires a model-reduction step (e.g. if a high-dimensional dynamical model, such as the linearized NS equations, is available) and/or a system identification step (if only numerical or experimental data are available).

Here is a list of some of the publications and presentations on flow control that I have worked on:

• Control of Large-Scale Motions in Boundary Layers, APS DFD 2021
• Model Predictive Control of Material Volumes with Application to Vortical Structures, AIAA Journal 2021
• Estimation and Control of Fluid Flows Using Sparsity-Promoting Dynamic Mode Decomposition, IEEE L-CSS
• Toward Model-Based Control of Near-Wall Turbulent Coherent Structures, AIAA SciTech 2020