Convolutional Autoencoders, Clustering, and POD for Low-dimensional Parametrization of Navier-Stokes Equations
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A quadratic decoder approach to nonintrusive reduced-order modeling of nonlinear dynamical systems
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A low-rank solution method for Riccati equations with indefinite quadratic terms
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Robust output-feedback stabilization for incompressible flows using low-dimensional (ℋ)(_mbox(ınfty) )-controllers
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Operator Inference and Physics-Informed Learning of Low-Dimensional Models for Incompressible Flows
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Identification of Linear Time-Invariant Systems with Dynamic Mode Decomposition
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Convolutional Neural Networks for Very Low-Dimensional LPV Approximations of Incompressible Navier-Stokes Equations
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Convolutional Autoencoders and Clustering for Low-dimensional Parametrization of Incompressible Flows
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Convergence of Coprime Factor Perturbations for Robust Stabilization of Oseen Systems
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A quadratic decoder approach to nonintrusive reduced-order modeling of nonlinear dynamical systems
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