activity
20162024
most citedBest Practices for Replicability, Reproducibility and Reusability of Computer-Based Experiments Exemplified by Model Reduction Software

45 citations · 165 across the 20 of their papers we have counts for

collaborators
Showing math.OCShow all

5 papers · 1 filter

math.OC2023★ 9 cited

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…

math.OC2022★ 19 cited

Exponential Lag Synchronization of Cohen-Grossberg Neural Networks with Discrete and Distributed Delays on Time Scales

Vipin Kumar, Jan Heiland, Peter Benner

In this article, we investigate exponential lag synchronization results for the Cohen-Grossberg neural networks (C-GNNs) with discrete and distributed delays on an arbitrary time d…

math.OC2021★ 13 cited

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…

math.OC2020

Classical System Theory Revisited for Turnpike in Standard State Space Systems and Impulse Controllable Descriptor Systems

Jan Heiland, Enrique Zuazua

The concept of turnpike connects the solution of long but finite time horizon optimal control problems with steady state optimal controls. A key ingredient of the analysis of the t…

math.OC2016★ 30 cited

Space-time Galerkin POD with application in optimal control of semi-linear parabolic partial differential equations

Manuel Baumann, Peter Benner, Jan Heiland

In the context of Galerkin discretizations of a partial differential equation (PDE), the modes of the classical method of Proper Orthogonal Decomposition (POD) can be interpreted a…