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03/21/2023
Low-complexity linear parameter-varying approximations of incompressible Navier-Stokes equations for truncated state-dependent Riccati feedback
Nonlinear feedback design via state-dependent Riccati equations is well ...
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02/02/2023
Convolutional Autoencoders, Clustering and POD for Low-dimensional Parametrization of Navier-Stokes Equations
Simulations of large-scale dynamical systems require expensive computati...
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11/12/2021
A low-rank solution method for Riccati equations with indefinite quadratic terms
Algebraic Riccati equations with indefinite quadratic terms play an impo...
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09/14/2021
Identification of linear time-invariant systems with Dynamic Mode Decomposition
Dynamic mode decomposition (DMD) is a popular data-driven framework to e...
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10/13/2020
Operator Inference and Physics-Informed Learning of Low-Dimensional Models for Incompressible Flows
Reduced-order modeling has a long tradition in computational fluid dynam...
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09/02/2020
Space and Chaos-Expansion Galerkin POD Low-order Discretization of PDEs for Uncertainty Quantification
The quantification of multivariate uncertainties in partial differential...
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10/29/2019
Invariant Galerkin Ansatz Spaces and Davison-Maki Methods for the Numerical Solution of Differential Riccati Equations
The differential Riccati equation appears in different fields of applied...
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08/13/2019
Numerical benchmarking of fluid-rigid body interactions
We propose a fluid-rigid body interaction benchmark problem, consisting ...
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07/27/2017
Example Setups of Navier-Stokes Equations with Control and Observation: Spatial Discretization and Representation via Linear-quadratic Matrix Coefficients
We provide spatial discretizations of nonlinear incompressible Navier-St...
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07/05/2016
