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


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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