Jan Heiland

Orcid: 0000-0003-0228-8522

According to our database1, Jan Heiland authored at least 39 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Polytopic autoencoders with smooth clustering for reduced-order modeling of flows.
J. Comput. Phys., 2025

2024
Barycentric rational approximation for learning the index of a dynamical system from limited data.
CoRR, 2024

MaRDIFlow: A CSE workflow framework for abstracting meta-data from FAIR computational experiments.
CoRR, 2024

Deep polytopic autoencoders for low-dimensional linear parameter-varying approximations and nonlinear feedback design.
CoRR, 2024

Polytopic Autoencoders with Smooth Clustering for Reduced-order Modelling of Flows.
CoRR, 2024

Convolutional autoencoders, clustering, and POD for low-dimensional parametrization of flow equations.
Comput. Math. Appl., 2024

Implicit and Explicit Matching of Non-Proper Transfer Functions in the Loewner Framework.
Proceedings of the European Control Conference, 2024

Low-Order Linear Parameter Varying Approximations for Nonlinear Controller Design for Flows.
Proceedings of the European Control Conference, 2024

2023
Exponential Lag Synchronization of Cohen-Grossberg Neural Networks with Discrete and Distributed Delays on Time Scales.
Neural Process. Lett., December, 2023

Projective lag quasi-synchronization of coupled systems with mixed delays and parameter mismatch: a unified theory.
Neural Comput. Appl., November, 2023

A low-rank solution method for Riccati equations with indefinite quadratic terms.
Numer. Algorithms, 2023

Low-Complexity Linear Parameter-Varying Approximations of Incompressible Navier-Stokes Equations for Truncated State-Dependent Riccati Feedback.
IEEE Control. Syst. Lett., 2023

Frequency-dependent Switching Control for Disturbance Attenuation of Linear Systems.
CoRR, 2023

Convolutional Autoencoders, Clustering and POD for Low-dimensional Parametrization of Navier-Stokes Equations.
CoRR, 2023

MaRDIFlow: A Workflow Framework for Documentation and Integration of FAIR Computational Experiments.
Proceedings of the 1st Conference on Research Data Infrastructure - Connecting Communities, 2023

2022
Operator Inference for Quadratic Manifold Encodings.
Dataset, September, 2022

Convolutional Neural Networks for Very Low-Dimensional LPV Approximations of Incompressible Navier-Stokes Equations.
Frontiers Appl. Math. Stat., 2022

Robust output-feedback stabilization for incompressible flows using low-dimensional ℋ<sub>∞ </sub>-controllers.
Comput. Optim. Appl., 2022

2021
Classical System Theory Revisited for Turnpike in Standard State Space Systems and Impulse Controllable Descriptor Systems.
SIAM J. Control. Optim., 2021

Identification of linear time-invariant systems with Dynamic Mode Decomposition.
CoRR, 2021

Galerkin trial spaces and Davison-Maki methods for the numerical solution of differential Riccati equations.
Appl. Math. Comput., 2021

2020
Operator Inference and Physics-Informed Learning of Low-Dimensional Models for Incompressible Flows.
CoRR, 2020

Space and Chaos-Expansion Galerkin POD Low-order Discretization of PDEs for Uncertainty Quantification.
CoRR, 2020

PD controllers to solve single-input, index-1 DAE based LQR problems.
Proceedings of the 18th European Control Conference, 2020

Equivalence of Riccati-based Robust Controller Design for Index-1 Descriptor Systems and Standard Plants with Feedthrough.
Proceedings of the 18th European Control Conference, 2020

2019
Invariant Galerkin Ansatz Spaces and Davison-Maki Methods for the Numerical Solution of Differential Riccati Equations.
Dataset, April, 2019

Invariant Galerkin Ansatz Spaces and Davison-Maki Methods for the Numerical Solution of Differential Riccati Equations.
Dataset, April, 2019

Invariant Galerkin Ansatz Spaces and Davison-Maki Methods for the Numerical Solution of Differential Riccati Equations.
Dataset, April, 2019

Invariant Galerkin Ansatz Spaces and Davison-Maki Methods for the Numerical Solution of Differential Riccati Equations.
Dataset, April, 2019

Invariant Galerkin Ansatz Spaces and Davison-Maki Methods for the Numerical Solution of Differential Riccati Equations.
Dataset, April, 2019

Invariant Galerkin Ansatz Spaces and Davison-Maki Methods for the Numerical Solution of Differential Riccati Equations.
CoRR, 2019

Numerical benchmarking of fluid-rigid body interactions.
CoRR, 2019

2018
Solution Formulas for Differential Sylvester and Lyapunov Equations.
Dataset, February, 2018

Solution Formulas for Differential Sylvester and Lyapunov Equation.
Dataset, February, 2018

Space-Time Galerkin POD with Application in Optimal Control of Semilinear Partial Differential Equations.
SIAM J. Sci. Comput., 2018

2017
Example Setups of Navier-Stokes Equations with Control and Observation: Spatial Discretization and Representation via Linear-quadratic Matrix Coefficients.
CoRR, 2017

Nonlinear feedback stabilization of incompressible flows via updated Riccati-based gains.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

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

Best Practices for Replicability, Reproducibility and Reusability of Computer-Based Experiments Exemplified by Model Reduction Software.
CoRR, 2016


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