We discuss the modelling framework of port-Hamiltonian descriptor systems and their use in
numerical simulation and control. The structure is ideal for automated network-based …

Engineering large structure systems are dynamic, high-dimensional and have a wide range
of physical mechanism interconnections. Analyzing the dynamic behavior of complex …

Abstract Model Order Reduction (MOR) has demonstrated its robustness and wide use in
engineering and science for the simulation of large-scale mathematical systems over the last …

Large scale dynamical systems are a common framework for the modeling and control of
many complex phenomena of scientific interest and industrial value, with examples of …

Model reduction of port-Hamiltonian systems by means of the Krylov methods is considered,
aiming at port-Hamiltonian structure preservation. It is shown how to employ the Arnoldi …

Virtual sensing employs an estimator that combines a numerical model and a limited set of
measurements to estimate the full field pressure of a vibro-acoustic system in the time …

This work proposes novel stability‐preserving model order reduction approaches for vibro‐
acoustic finite element models. As most research in the past for these systems has focused …

We present a passivity-preserving balanced truncation model reduction method for
differential-algebraic equations arising in circuit simulation. This method is based on …

The continuous scaling of the on-chip devices and interconnects increases the complexity of
the design space and becomes a crucial factor in the fabrication of modern integrated …

In this paper, a new structure-preserving scheme for the reduction of linear port-Hamiltonian
systems with dissipation using Krylov subspaces is presented. It is shown how to choose the …