Publications of Jan Heiland
All genres
Journal Article (27)
2025
Journal Article
521 (Part 1), 113526 (2025)
Polytopic Autoencoders with Smooth Clustering for Reduced-order Modelling of Flows. Journal of Computational Physics
Journal Article
37, pp. 6383 - 6400 (2025)
Exponential Synchronization of bi-directional associative memory Neural Networks with Delay on Arbitrary Time Domains. Neural Computing and Applications 2024
Journal Article
175, pp. 49 - 61 (2024)
Convolutional Autoencoders, Clustering and POD for Low-dimensional Parametrization of Navier-Stokes Equations. Computers & Mathematics with Applications 2023
Journal Article
124 (12), pp. 2801 - 2817 (2023)
Space and Chaos-Expansion Galerkin Proper Orthogonal Decomposition Low-order Discretization of PDEs for Uncertainty Quantification. International Journal for Numerical Methods in Engineering
Journal Article
92, pp. 1083 - 1103 (2023)
A Low-Rank Solution Method for Riccati Equations with Indefinite Quadratic Terms. Numerical Algorithms
Journal Article
7, pp. 3012 - 3017 (2023)
Low-Complexity Linear Parameter-Varying Approximations of Incompressible Navier-Stokes Equations for Truncated State-Dependent Riccati Feedback. IEEE Control Systems Letters
Journal Article
55, pp. 9907 - 9929 (2023)
Exponential Lag Synchronization of Cohen-Grossberg Neural Networks with Discrete and Distributed Delays on Time Scales. Neural Processing Letters
Journal Article
35, pp. 23649 - 23665 (2023)
Projective Lag Quasi-Synchronization of Coupled Systems with Mixed Delays and Parameter Mismatch: A Unified Theory. Neural Computing and Applications 2022
Journal Article
56, pp. 28 - 51 (2022)
Operator Inference and Physics-Informed Learning of Low-Dimensional Models for Incompressible Flows. Electronic Transactions on Numerical Analysis: Special Issue SciML
Journal Article
82, pp. 225 - 249 (2022)
Robust Output-Feedback Stabilization for Incompressible Flows using Low-Dimensional H∞-Controllers. Computational Optimization and Applications
Journal Article
12 (3), pp. 747 - 761 (2022)
Convergence of Coprime Factor Perturbations for Robust Stabilization of Oseen Systems. Mathematical Control and Related Fields
Journal Article
8, 879140 (2022)
Convolutional Neural Networks for Very Low-dimensional LPV Approximations of Incompressible Navier-Stokes Equations. Frontiers in Applied Mathematics and Statistics, section Statistical and Computational Physics
Journal Article
10 (3), 418 (2022)
Identification of linear time-invariant systems with Dynamic Mode Decomposition. mathematics 2021
Journal Article
410, 126401, 28 pages (2021)
Galerkin Trial Spaces and Davison-Maki Methods for the Numerical Solution of Differential Riccati Equations. Applied Mathematics and Computation
Journal Article
59 (5), pp. 3600 - 3624 (2021)
Classical System Theory Revisited for Turnpike in Standard State Space Systems and Impulse Controllable Descriptor Systems. SIAM Journal on Control and Optimization 2019
Journal Article
56 (4), 51, 23 pages (2019)
Solution Formulas for Differential Sylvester and Lyapunov Equations. CALCOLO: A Quarterly on Numerical Analysis and Theory of Computation
Journal Article
193, 104290, 17 pages (2019)
Numerical Benchmarking of Fluid-Rigid Body Interactions. Computers and Fluids 2018
Journal Article
15 (3), pp. 452 - 478 (2018)
Regularization and Rothe Discretization of Semi-Explicit Operator DAEs. International Journal of Numerical Analysis and Modeling
Journal Article
26 (2), pp. 11 - 40 (2018)
Optimal Control of a Stefan Problem Fully Coupled with Incompressible Navier-Stokes-Equations and Mesh Movement. Analele Stiintifice ale Universitatii Ovidius Constanta - Seria Matematica
Journal Article
40 (3), pp. A1611 - A1641 (2018)
Space-time Galerkin POD with Application in Optimal Control of Semi-Linear Parabolic Partial Differential Equations. SIAM Journal on Scientific Computing