An iterative SVD-Krylov based algorithm for model reduction of MIMO systems

In this paper we propose a model reduction algorithm for approximation of large-scale MIMO systems, which combines the SVD and Krylov based techniques. The reduced model is also asymptotically stable and a tangential condition can be satisfied. Numerical examples demonstrate the performance of the proposed approach and we compare it with the existing method MIRIA.

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