Jan Heiland
Orcid: 0000-0003-0228-8522
According to our database1,
Jan Heiland
authored at least 41 papers
between 2016 and 2025.
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Bibliography
2025
Exponential synchronization of bi-directional associative memory neural networks with delay on arbitrary time domains.
Neural Comput. Appl., March, 2025
Syst. Control. Lett., 2025
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
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
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
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
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
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
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
2018
Dataset, February, 2018
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
SIAM J. Control. Optim., 2016
Best Practices for Replicability, Reproducibility and Reusability of Computer-Based Experiments Exemplified by Model Reduction Software.
CoRR, 2016