A new model reduction method for the simplification and design of a controller for the linear
time-invariant systems is proposed. An improved generalized pole clustering algorithm is …

Considering the use of dynamical systems in practical applications, often only limited
regions in the time or frequency domain are of interest. Therefore, it usually pays off to …

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 …

In this paper, we present a finite-time model order reduction method for linear systems via
shifted Legendre polynomials. The main idea of the approach is to use finite-time empirical …

A model order reduction algorithm is presented that generates a reduced‐order model of the
original high‐order model, which ensures high fidelity within the desired time interval. The …

The state-space representations grant a convenient, compact, and elegant way to examine
the induction and synchronous generator-based wind turbines, with facts readily available …

For an easy use of model reduction techniques in applications, software solutions are
needed. In this paper, we describe the MORLAB, Model Order Reduction LABoratory …

In this paper, we present frequency‐weighted optimal Hankel‐norm model reduction
algorithms for linear time‐invariant continuous‐time systems by representing an original …

Model order reduction involves constructing a reduced-order approximation of a high-order
model while retaining its essential characteristics. This reduced-order model serves as a …

Several approaches for reducing model order on the definite time segments have become
the topic of investigation in a series of papers that bring challenges during application in a …