Abstract

In this paper, we propose an algorithm for model order reduction of large scale systems that can be described by delayed differential equations. The algorithm is based on the combination of a Laguerre expansion technique for the delays and higher order Krylov subspaces. Pertinent numerical results validate the accuracy and efficiency of the proposed model order reduction approach.

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