Model Order Reduction for Systems with Moving Loads

Norman Lang 1 , Jens Saak,  and Peter Benner
  • 1 Technische Universität Chemnitz
  • 2 Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg

Abstract

In this contribution we present two approaches allowing to find a reduced order approximant of a full order model featuring a moving load term. First, we apply the Balanced Truncation (BT) method to a switched linear system (SLS) using the special structure given in the spatially discretized model. The second approach treats the variability as a continuous parameter dependence and uses the iterative rational Krylov algorithm (IRKA) to compute a parameter preserving reduced order model.

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AT – Automatisierungstechnik covers the entire field of automation technology. It presents the development of theoretical procedures and their possible applications. Topics include new discoveries about the development and application of methods. It presents the function, properties, and applications of tools and includes contributions from the worlds of research, academia, and industry.

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