Preprint (66)
2024
Preprint
Numerical Methods for Closed-Loop Systems with Non-Autonomous Data. (2024)
Preprint
Roadmap on Data-Centric Materials Science. (2024)
Preprint
Learning Reduced-Order Quadratic-Linear Models in Process Engineering using Operator Inference. (2024)
Preprint
Partial Stabilization of Nonlinear Systems Along a Given Trajectory. (2024)
Preprint
Polytopic Autoencoders with Smooth Clustering for Reduced-order Modelling of Flows. (2024)
Preprint
Deep Polytopic Autoencoders for Low-Dimensional Linear Parameter-Varying Approximations and Nonlinear Feedback Design. (2024)
Preprint
Detection, isolation and characterisation of phage-host complexes using BONCAT and click chemistry. (2024)
Preprint
Data-driven quadratic modeling in the Loewner framework from input-output time-domain measurements. (2024)
Preprint
Macrophage- and CD4+ T cell-derived SIV differ in glycosylation, infectivity and neutralization sensitivity. (2024)
Preprint
Interpolatory Necessary Optimality Conditions for Reduced-order Modeling of Parametric Linear Time-invariant Systems. (2024)
Preprint
Digital Twins in Process Engineering: An Overview on Computational and Numerical Methods. (2024)
Preprint
Extended Dynamic Mode Decomposition: Sharp bounds on the sample efficiency. (2024)
Preprint
Stability-Certified Learning of Control Systems with Quadratic Nonlinearities. (2024)
Preprint
Balanced Truncation of Descriptor Systems with a Quadratic Output. (2024)
Preprint
Using LDLT Factorizations in Newton's Method for Solving General Large-Scale Algebraic Riccati Equations. (2024)
Preprint
MaRDIFlow: A CSE Workflow Framework for Abstracting Meta-Data from FAIR Computational Experiments. (2024)
Preprint
Estimates of the Kolmogorov n-Width for Nonlinear Transformations with Application to Distributed-Parameter Control Systems. (2024)
2023
Preprint
Adaptive Choice of Near-Optimal Expansion Points for Interpolation-Based Structure-Preserving Model Reduction. (2023)
Preprint
Low-order Linear Parameter Varying Approximations for Nonlinear Controller Design for Flows. (2023)
Preprint
A Robust SINDy Approach by Combining Neural Networks and an Integral Form. (2023)
Preprint
Inference of Continuous Linear Systems from Data with Guaranteed Stability. (2023)
Preprint
Guaranteed Stable Quadratic Models and their applications in SINDy and Operator Inference. (2023)
Preprint
Deep Learning for Structure-Preserving Universal Stable Koopman-Inspired Embeddings for Nonlinear Canonical Hamiltonian Dynamics. (2023)
Preprint
Loewner Functions for Bilinear Systems. (2023)
Preprint
A Weighted Subspace Exponential Kernel for Support Tensor Machines. (2023)
Preprint
Low-rank-modified Galerkin Methods for the Lyapunov Equation. (2023)
Preprint
Interpolatory H2-Optimality Conditions for Structured Linear Time-invariant Systems. (2023)
Preprint
Efficient Solution of Sequences of Parametrized Lyapunov Equations with Applications. (2023)
Preprint
Partial observations, coarse graining and equivariance in Koopman operator theory for large-scale dynamical systems. (2023)
Preprint
Error analysis of kernel EDMD for prediction and control in the Koopman framework. (2023)
Preprint
Generalizations of Data-Driven Balancing: What to Sample for Different Balancing-Based Reduced Models. (2023)
Preprint
A Note on the Weak Harnack Inequality for Unbounded Minimizers of Elliptic Functionals with Generalized Orlicz Growth. (2023)
Preprint
Parametric Dynamic Mode Decomposition for Nonlinear Parametric Dynamical Systems. (2023)
Preprint
Data-Driven Identification of Quadratic Symplectic Representations of Nonlinear Hamiltonian Systems. (2023)
Preprint
Linearly Implicit Global Energy Preserving Reduced-order Models for Cubic Hamiltonian Systems. (2023)
Preprint
Frequency-dependent Switching Control for Disturbance Attenuation of Linear Systems. (2023)
Preprint
Iterative Approximations of Periodic Trajectories for Nonlinear Systems with Discontinuous Inputs. (2023)
2022
Preprint
Riccati-feedback Control of a Two-dimensional Two-phase Stefan Problem. (2022)
Preprint
Data-driven approximation and reduction from noisy data in matrix pencil frameworks. (2022)
Preprint
NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning. (2022)
2021
Preprint
LQResNet: A Deep Neural Network Architecture for Learning Dynamic Processes. (2021)
Preprint
Learning Dynamics from Noisy Measurements using Deep Learning with a Runge-Kutta Constraint. (2021)
Preprint
Learning Low-Dimensional Quadratic-Embeddings of High-Fidelity Nonlinear Dynamics using Deep Learning. (2021)
Preprint
Solution Decomposition for the Nonlinear Poisson-Boltzmann Equation using the Range-Separated Tensor Format. (2021)
Preprint
Interferon induction and not replication interference mainly determines anti-influenza virus activity of defective interfering particles. (2021)
Preprint
Model Reduction of Parametric Differential-Algebraic Systems by Balanced Truncation. (2021)
Preprint
Learning Reduced Order Models from Data for Hyperbolic PDEs. (2021)
Preprint
Critical Assessment of Metaproteome Investigation (CAMPI): A Multi-Lab Comparison of Established Workflows. (2021)
Preprint
Factorization of the Loewner matrix pencil and its consequences. (2021)
2020
Preprint
Automatic Decoupling and Index-aware Model-Order Reduction for Nonlinear Differential-Algebraic Equations. (2020)