Dynamical systems are at the core of computational models for a wide range of complex
phenomena and, as a consequence, the simulation of dynamical systems has become a …

We present a framework for constructing structured realizations of linear dynamical systems
having transfer functions of the form C˜(∑ k= 1 K hk (s) A˜ k)− 1 B˜ where h 1, h 2,..., h K are …

In this thesis, structure-preserving model order reduction for dynamical systems is studied.
The particular focus lies on mechanical systems described by differential equations with …

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 thus …

This paper proposes a method for the model order reduction (MOR) of large scale power
system models that produces reduced order models (ROM) which preserve the access to …

We construct optimally robust port-Hamiltonian realizations of a given rational transfer
function that represents a passive system. We show that the realization with a maximal …

This contribution proposes a new approach to derive geometrically parameterized, reduced
order finite element models. An element formulation for geometrically parameterized finite …

In this paper, we extendthe structure-preserving interpolatory model reduction framework,
originally developed for linear systems, to structured bilinear control systems. Specifically …

Port-based network modeling of multi-physics problems leads naturally to a formulation as
port-Hamiltonian differential-algebraic system. In this way, the physical properties are …

Adaptive algorithms for computing the reduced‐order model of time‐delay systems (TDSs)
are proposed in this work. The algorithms are based on interpolating the transfer function at …