Robust output-feedback stabilization for incompressible flows using low-dimensional H∞-controllers
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Abstract (arXiv)
Output-based controllers are known to be fragile with respect to model uncertainties. The standard H∞-control theory provides a general approach to robust controller design based on the solution of the H∞-Riccati equations. In view of stabilizing incompressible flows in simulations, two major challenges have to be addressed: the high-dimensional nature of the spatially discretized model and the differential-algebraic structure that comes with the incompressibility constraint. This work demonstrates the synthesis of low-dimensional robust controllers with guaranteed robustness margins for the stabilization of incompressible flow problems. The performance and the robustness of the reduced-order controller with respect to linearization and model reduction errors are investigated and illustrated in numerical examples.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Mar 2021.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 1.
3 papers.
- 2024System stabilization with policy optimization on unstable latent manifolds8 Jul 2024
- 2023Convolutional Autoencoders, Clustering and POD for Low-dimensional Parametrization of Navier-Stokes Equations2 Feb 2023
- 2022On the sample complexity of stabilizing linear dynamical systems from data28 Feb 2022