Publications of Peter Benner
All genres
Preprint (35)
721.
Preprint
Balanced Truncation of Descriptor Systems with a Quadratic Output. (2024)
722.
Preprint
Numerical Methods for Closed-Loop Systems with Non-Autonomous Data. (2024)
723.
Preprint
Interpolatory Necessary Optimality Conditions for Reduced-order Modeling of Parametric Linear Time-invariant Systems. (2024)
724.
Preprint
Roadmap on Data-Centric Materials Science. (2024)
725.
Preprint
Digital Twins in Process Engineering: An Overview on Computational and Numerical Methods. (2024)
726.
Preprint
Iterative Approximations of Periodic Trajectories for Nonlinear Systems with Discontinuous Inputs. (2023)
727.
Preprint
Interpolatory H2-Optimality Conditions for Structured Linear Time-invariant Systems. (2023)
728.
Preprint
A Robust SINDy Approach by Combining Neural Networks and an Integral Form. (2023)
729.
Preprint
Guaranteed Stable Quadratic Models and their applications in SINDy and Operator Inference. (2023)
730.
Preprint
Deep Learning for Structure-Preserving Universal Stable Koopman-Inspired Embeddings for Nonlinear Canonical Hamiltonian Dynamics. (2023)
731.
Preprint
Linearly Implicit Global Energy Preserving Reduced-order Models for Cubic Hamiltonian Systems. (2023)
732.
Preprint
Data-Driven Identification of Quadratic Symplectic Representations of Nonlinear Hamiltonian Systems. (2023)
733.
Preprint
Frequency-dependent Switching Control for Disturbance Attenuation of Linear Systems. (2023)
734.
Preprint
Parametric Dynamic Mode Decomposition for Nonlinear Parametric Dynamical Systems. (2023)
735.
Preprint
A Weighted Subspace Exponential Kernel for Support Tensor Machines. (2023)
736.
Preprint
Inference of Continuous Linear Systems from Data with Guaranteed Stability. (2023)
737.
Preprint
Riccati-feedback Control of a Two-dimensional Two-phase Stefan Problem. (2022)
738.
Preprint
Learning Low-Dimensional Quadratic-Embeddings of High-Fidelity Nonlinear Dynamics using Deep Learning. (2021)
739.
Preprint
Solution Decomposition for the Nonlinear Poisson-Boltzmann Equation using the Range-Separated Tensor Format. (2021)
740.
Preprint
Learning Reduced Order Models from Data for Hyperbolic PDEs. (2021)