A thorough and exhaustive presentation of theoretical analysis and practical techniques for
the small-signal analysis and control of large modern electric power systems as well as an …

Knowledge of the rightmost eigenvalues of system matrices is essential in power system
small-signal stability analysis. Accurate and efficient computation of the rightmost …

Building energy simulations are employed to forecast energy demand and load profiles.
Despite reasonable prediction accuracy, they prove to be computationally intensive …

This paper is a sequel on the topic of localized Lagrange multipliers (LLM) for applications of
fluid–structure interaction (FSI) between finite-element models of an acoustic fluid and an …

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, the dominant spectral-zero method (dominant SZM) is presented, a new
passivity-preserving model-reduction method for circuit simulation. Passivity is guaranteed …

In recent years, model order reduction (MOR) has been interested in more and more
scientists. A lot of MOR algorithms have been introduced by many different approaches …

This thesis presents the result of the study on model order reduction (MOR) methods, that
can be applied to coupled systems. The goal of the research was to develop reduction …

The dominant poles of a transfer function are specific eigenvalues of the state space matrix
of the corresponding dynamical system. In this paper, two methods for the computation of the …

This chapter offers an introduction to Model Order Reduction (MOR). It gives an overview on
the methods that are mostly used. It also describes the main concepts behind the methods …