In the past decades, Model Order Reduction (MOR) has demonstrated its robustness and
wide applicability for simulating large-scale mathematical models in engineering and the …

This paper summarises the model reduction techniques used for the reduction of large-scale
linear and nonlinear dynamic models, described by the differential and algebraic equations …

In this paper we give a survey on balanced truncation model order reduction for linear time-
invariant continuous-time systems in descriptor form. We first give a brief overview of the …

Abstract Model reduction is of fundamental importance in many control applications. We
consider model reduction methods for linear time-invariant continuous-time descriptor …

In this paper, we discuss the model order reduction problem for descriptor systems, that is,
systems with dynamics described by differential-algebraic equations. We focus on linear …

This paper is concerned with establishing a delay‐dependent bounded real lemma (BRL)
for singular systems with a time delay. Without resorting to any bounding techniques for …

We discuss model reduction of linear continuous-time descriptor systems that arise in the
control of semidiscretized Stokes equations. Balanced truncation model reduction methods …

We present a new approach for generating fast simulation models of electromagnetic (EM)
devices that contain moving components and magnetic materials with nonlinear properties …

A new technique for model order reduction of large scale continuous linear time invariant
descriptor systems in limited time interval is proposed. The concept of time limited Gramians …

Abstract Model reduction is a process of approximating higher order original models by
comparatively lower order models with reasonable accuracy in order to provide ease in …