In diesem Beitrag wird ein neuer Rahmen zur Modellordnungsreduktion parametrischer LZI-
Systeme vorgestellt. Er sieht zunächst die Reduktion des Originalmodells in einigen …

This paper presents a parameterized reduction technique for highly nonlinear systems. In
our approach, we first approximate the nonlinear system with a convex combination of …

Composite microsystems that integrate mechanical and fluidic components are fast
emerging as the next generation of system-on-chip designs. As these systems become …

Parametric Model Order Reduction has been recognized as one of the outstanding issues in
reduced order modeling paradigms. Recent years have seen a spurt in research activity …

In this paper we present a parameterized reduction technique for non-linear systems. Our
approach combines an existing non-parameterized trajectory piecewise linear method for …

A methodology is proposed for the development of reduced-order models of finite element
approximations of electromagnetic devices exhibiting uncertainty or statistical variability in …

Higher-level representations (macromodels, reduced-order models) abstract away
unnecessary implementation details and model only important system properties such as …

In this paper an optimization based model order reduction (MOR) framework is proposed.
The method involves setting up a quasiconvex program that explicitly minimizes a relaxation …

This paper presents a systematic performance and robustness study of bio-inspired digital
liquid state machines (LSMs) for the purpose of future hardware implementation. Our work …

Today's advanced high‐speed technology requires building behavioral models of systems,
from measured/simulated data, with increasingly higher operating frequencies. Different …