Report

Deep Polytopic Autoencoders for Low-dimensional Linear Parameter-varying Approximations and Nonlinear Feedback Design

Low-order Linear Parameter Varying Approximations for Nonlinear Controller Design for Flows

Implicit and explicit matching of non-proper transfer functions in the Loewner framework

Frequency-dependent Switching Control for Disturbance Attenuation of Linear Systems

Convolutional Autoencoders, Clustering, and POD for Low-dimensional Parametrization of Navier-Stokes Equations

Space and Chaos-Expansion Galerkin POD Low-order Discretization of PDEs for Uncertainty Quantification

Example Setups of Navier- Stokes Equations with Control and Observation: Spatial Discretization and Representation via Linear-quadratic Matrix Coefficients

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