Towards data-driven model reduction of the Navier-Stokes equations using the Loewner framework

DOI10.1007/978-3-030-90727-3_14zbMath1505.76073OpenAlexW3212407585MaRDI QIDQ2094195

Alejandro N. Diaz, Matthias Heinkenschloss

Publication date: 28 October 2022

Full work available at URL: https://doi.org/10.1007/978-3-030-90727-3_14

zbMATH Keywords

incompressible Navier-Stokes equationstransfer function measurementincompressibility subspace projectioninput-to-output mapquadratic ordinary differential equation

Mathematics Subject Classification ID

Navier-Stokes equations for incompressible viscous fluids (76D05) Basic methods in fluid mechanics (76M99)

Related Items (1)

Interpolatory model reduction of quadratic-bilinear dynamical systems with quadratic-bilinear outputs

Uses Software

• Loewner

Cites Work

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• Data-Driven Model Reduction for a Class of Semi-Explicit DAEs Using the Loewner Framework
• An Iterative Model Reduction Scheme for Quadratic-Bilinear Descriptor Systems with an Application to Navier–Stokes Equations
• Two-Sided Projection Methods for Nonlinear Model Order Reduction
• Riccati-based Boundary Feedback Stabilization of Incompressible Navier--Stokes Flows

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