Best Practices for Replicability, Reproducibility and Reusability of Computer-Based Experiments Exemplified by Model Reduction Software. - Jörg Fehr; Jan Heiland; Christian Himpe; Jens Saak (CoRR, 2016)

A Differential-Algebraic Riccati Equation for Applications in Flow Control. - Jan Heiland (SIAM J. Control. Optim., 2016)

Nonlinear feedback stabilization of incompressible flows via updated Riccati-based gains. - Peter Benner; Jan Heiland (CDC, 2017)

Example Setups of Navier-Stokes Equations with Control and Observation: Spatial Discretization and Representation via Linear-quadratic Matrix Coefficients. - Maximilian Behr; Peter Benner; Jan Heiland (CoRR, 2017)

Space-Time Galerkin POD with Application in Optimal Control of Semilinear Partial Differential Equations. - Manuel Baumann; Peter Benner; Jan Heiland (SIAM J. Sci. Comput., 2018)

Solution Formulas for Differential Sylvester and Lyapunov Equation. - Maximilian Behr; Jan Heiland; Peter Benner (Zenodo, 2018)

Solution Formulas for Differential Sylvester and Lyapunov Equations. - Maximilian Behr; Jan Heiland; Peter Benner (Zenodo, 2018)

Numerical benchmarking of fluid-rigid body interactions. - Henry von Wahl; Thomas Richter 003; Christoph Lehrenfeld; Jan Heiland; Piotr Minakowski (CoRR, 2019)

Invariant Galerkin Ansatz Spaces and Davison-Maki Methods for the Numerical Solution of Differential Riccati Equations. - Maximilian Behr; Peter Benner; Jan Heiland (CoRR, 2019)

Invariant Galerkin Ansatz Spaces and Davison-Maki Methods for the Numerical Solution of Differential Riccati Equations. - Maximilian Behr; Peter Benner; Jan Heiland (Zenodo, 2019)

Invariant Galerkin Ansatz Spaces and Davison-Maki Methods for the Numerical Solution of Differential Riccati Equations. - Maximilian Behr; Peter Benner; Jan Heiland (Zenodo, 2019)

Invariant Galerkin Ansatz Spaces and Davison-Maki Methods for the Numerical Solution of Differential Riccati Equations. - Maximilian Behr; Peter Benner; Jan Heiland (Zenodo, 2019)

Invariant Galerkin Ansatz Spaces and Davison-Maki Methods for the Numerical Solution of Differential Riccati Equations. - Maximilian Behr; Peter Benner; Jan Heiland (Zenodo, 2019)

Invariant Galerkin Ansatz Spaces and Davison-Maki Methods for the Numerical Solution of Differential Riccati Equations. - Maximilian Behr; Peter Benner; Jan Heiland (Zenodo, 2019)

Equivalence of Riccati-based Robust Controller Design for Index-1 Descriptor Systems and Standard Plants with Feedthrough. - Peter Benner; Jan Heiland (ECC, 2020)

PD controllers to solve single-input, index-1 DAE based LQR problems. - Chayan Bhawal; Jan Heiland; Peter Benner (ECC, 2020)

Space and Chaos-Expansion Galerkin POD Low-order Discretization of PDEs for Uncertainty Quantification. - Peter Benner; Jan Heiland (CoRR, 2020)

Operator Inference and Physics-Informed Learning of Low-Dimensional Models for Incompressible Flows. - Peter Benner; Pawan Goyal 003; Jan Heiland; Igor Pontes Duff (CoRR, 2020)

Galerkin trial spaces and Davison-Maki methods for the numerical solution of differential Riccati equations. - Maximilian Behr; Peter Benner; Jan Heiland (Appl. Math. Comput., 2021)

Identification of linear time-invariant systems with Dynamic Mode Decomposition. - Jan Heiland; Benjamin Unger (CoRR, 2021)

Classical System Theory Revisited for Turnpike in Standard State Space Systems and Impulse Controllable Descriptor Systems. - Jan Heiland; Enrique Zuazua (SIAM J. Control. Optim., 2021)

Robust output-feedback stabilization for incompressible flows using low-dimensional ℋ∞ -controllers. - Peter Benner; Jan Heiland; Steffen W. R. Werner (Comput. Optim. Appl., 2022)

Convolutional Neural Networks for Very Low-Dimensional LPV Approximations of Incompressible Navier-Stokes Equations. - Jan Heiland; Peter Benner; Rezvan Bahmani (Frontiers Appl. Math. Stat., 2022)

Operator Inference for Quadratic Manifold Encodings. - Jan Heiland; Pawan Goyal 003; Igor Pontes Duff; Peter Benner (Zenodo, 2022)

MaRDIFlow: A Workflow Framework for Documentation and Integration of FAIR Computational Experiments. - Pavan L. Veluvali; Jan Heiland; Peter Benner (CoRDI, 2023)

Convolutional Autoencoders, Clustering and POD for Low-dimensional Parametrization of Navier-Stokes Equations. - Yongho Kim; Jan Heiland (CoRR, 2023)

Frequency-dependent Switching Control for Disturbance Attenuation of Linear Systems. - Jingjing Zhang; Jan Heiland; Peter Benner; Xin Du (CoRR, 2023)

Low-Complexity Linear Parameter-Varying Approximations of Incompressible Navier-Stokes Equations for Truncated State-Dependent Riccati Feedback. - Jan Heiland; Steffen W. R. Werner (IEEE Control. Syst. Lett., 2023)

A low-rank solution method for Riccati equations with indefinite quadratic terms. - Peter Benner; Jan Heiland; Steffen W. R. Werner (Numer. Algorithms, 2023)

Projective lag quasi-synchronization of coupled systems with mixed delays and parameter mismatch: a unified theory. - Vipin Kumar 003; Jan Heiland; Peter Benner (Neural Comput. Appl., 2023)

Exponential Lag Synchronization of Cohen-Grossberg Neural Networks with Discrete and Distributed Delays on Time Scales. - Vipin Kumar 003; Jan Heiland; Peter Benner (Neural Process. Lett., 2023)

Low-Order Linear Parameter Varying Approximations for Nonlinear Controller Design for Flows. - Amritam Das; Jan Heiland (ECC, 2024)

Implicit and Explicit Matching of Non-Proper Transfer Functions in the Loewner Framework. - Ion Victor Gosea; Jan Heiland (ECC, 2024)

Convolutional autoencoders, clustering, and POD for low-dimensional parametrization of flow equations. - Jan Heiland; Yongho Kim (Comput. Math. Appl., 2024)

Polytopic Autoencoders with Smooth Clustering for Reduced-order Modelling of Flows. - Jan Heiland; Yongho Kim (CoRR, 2024)

Deep polytopic autoencoders for low-dimensional linear parameter-varying approximations and nonlinear feedback design. - Jan Heiland; Yongho Kim; Steffen W. R. Werner (CoRR, 2024)

MaRDIFlow: A CSE workflow framework for abstracting meta-data from FAIR computational experiments. - Pavan L. Veluvali; Jan Heiland; Peter Benner (CoRR, 2024)

Barycentric rational approximation for learning the index of a dynamical system from limited data. - Davide Pradovera; Ion Victor Gosea; Jan Heiland (CoRR, 2024)

Polytopic autoencoders with smooth clustering for reduced-order modeling of flows. - Jan Heiland; Yongho Kim (J. Comput. Phys., 2025)

Smoothing gradient method for group-structured sparse feedback stabilization. - Anping Tang; Jan Heiland; Guang-Da Hu (Syst. Control. Lett., 2025)

Exponential synchronization of bi-directional associative memory neural networks with delay on arbitrary time domains. - Vipin Kumar 003; Jan Heiland; Peter Benner (Neural Comput. Appl., 2025)