Stability-preserving parametric model reduction by matrix interpolation

Rudy Eid, Rosa Castañé-Selga, Heiko Panzer, Thomas Wolf and Boris Lohmann

Mathematical and Computer Modelling of Dynamical Systems, 2010, vol. 17, issue 4, 319-335

Abstract: In this article, a method to preserve stability in parametric model reduction by matrix interpolation is presented. Based on the matrix measure approach, sufficient conditions on the original system matrices are derived. Once they are fulfilled, the stability of each of the reduced models is guaranteed as well as that of the parametric model resulting from interpolation. In addition, it is shown that these sufficient conditions are met by port-Hamiltonian systems and by a relevant set of second-order systems obtained by the finite element method. The new approach is illustrated by two numerical examples.

Date: 2010
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DOI: 10.1080/13873954.2011.547671

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