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Journal of Mathematics
Volume 2013, Article ID 365909, 6 pages
http://dx.doi.org/10.1155/2013/365909
Research Article

A Unified Software Framework for Empirical Gramians

Institute for Computational and Applied Mathematics, University of Münster, Einsteinstraße 62, 48149 Münster, Germany

Received 11 July 2013; Accepted 2 August 2013

Academic Editor: Beny Neta

Copyright © 2013 Christian Himpe and Mario Ohlberger. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

A common approach in model reduction is balanced truncation, which is based on Gramian matrices classifying certain attributes of states or parameters of a given dynamic system. Initially restricted to linear systems, the empirical Gramians not only extended this concept to nonlinear systems but also provided a uniform computational method. This work introduces a unified software framework supplying routines for six types of empirical Gramians. The Gramian types will be discussed and applied in a model reduction framework for multiple-input multiple-output systems.