28 citations · 155 across the 18 of their papers we have counts for
8 papers · 1 filter
Low-complexity linear parameter-varying approximations of incompressible Navier-Stokes equations for truncated state-dependent Riccati feedback
Jan Heiland, Steffen W. R. Werner
Nonlinear feedback design via state-dependent Riccati equations is well established but unfeasible for large-scale systems because of computational costs. If the system can be embe…
Context-aware controller inference for stabilizing dynamical systems from scarce data
Steffen W. R. Werner, Benjamin Peherstorfer
This work introduces a data-driven control approach for stabilizing high-dimensional dynamical systems from scarce data. The proposed context-aware controller inference approach is…
Multi-fidelity robust controller design with gradient sampling
Steffen W. R. Werner, Michael L. Overton, Benjamin Peherstorfer
Robust controllers that stabilize dynamical systems even under disturbances and noise are often formulated as solutions of nonsmooth, nonconvex optimization problems. While methods…
On the sample complexity of stabilizing linear dynamical systems from data
Steffen W. R. Werner, Benjamin Peherstorfer
Learning controllers from data for stabilizing dynamical systems typically follows a two step process of first identifying a model and then constructing a controller based on the i…
Robust output-feedback stabilization for incompressible flows using low-dimensional -controllers
Peter Benner, Jan Heiland, Steffen W. R. Werner
Output-based controllers are known to be fragile with respect to model uncertainties. The standard -control theory provides a general approach to robust contr…
Structure-Preserving Model Reduction for Dissipative Mechanical Systems
Rebekka S. Beddig, Peter Benner, Ines Dorschky +4
Suppressing vibrations in mechanical systems, usually described by second-order dynamical models, is a challenging task in mechanical engineering in terms of computational resource…
Frequency- and Time-Limited Balanced Truncation for Large-Scale Second-Order Systems
Peter Benner, Steffen W. R. Werner
Considering the use of dynamical systems in practical applications, often only limited regions in the time or frequency domain are of interest. Therefor, it usually pays off to com…
Hankel-Norm Approximation of Large-Scale Descriptor Systems
Peter Benner, Steffen W. R. Werner
The Hankel-norm approximation is a model reduction method which provides the best approximation in the Hankel semi-norm. In this paper the computation of the optimal Hankel-norm ap…