4 citations · 6 across the 4 of their papers we have counts for
4 papers
Fixed-Order H-Infinity Controller Design for Port-Hamiltonian Systems
Paul Schwerdtner, Matthias Voigt
We present a new fixed-order H-infinity controller design method for potentially large-scale port-Hamiltonian (pH) plants. Our method computes controllers that are also pH (and thu…
Adaptive Sampling for Structure Preserving Model Order Reduction of Port-Hamiltonian Systems
Paul Schwerdtner, Matthias Voigt
We present an adaptive sampling strategy for the optimization-based structure preserving model order reduction (MOR) algorithm developed in [Schwerdtner, P. and Voigt, M. (2020). S…
Port-Hamiltonian System Identification from Noisy Frequency Response Data
Paul Schwerdtner
We present a new method for the identification of linear time-invariant passive systems from noisy frequency response data. In particular, we propose to fit a parametrized port-Ham…
Risk Assessment for Machine Learning Models
Paul Schwerdtner, Florens Greßner, Nikhil Kapoor +5
In this paper we propose a framework for assessing the risk associated with deploying a machine learning model in a specified environment. For that we carry over the risk definitio…