Authors: T. Bechtold, B. Salimbahrami, E.B. Rudnyi, B. Lohmann and J.G. Korvink
Affilation: IMTEK, University of Freiburg, Germany
Pages: 582 - 585
Keywords: MEMS, Krylov subspace, order reduction, Arnoldi algorithm
A high power dissipation density in todays miniature electronic/mechanical systems makes on-chip thermal management very important. In order to achieve quick to evaluate, yet accurate thermo-electric models, needed for the thermal management of microsystems, a model order reduction is necessary. Recently the Krylov-subspace-based methods have been used for automatic model order reduction. In this paper, we use Krylov-subspace methods for order reduction of thermo-electric MEMS model, illustrated by a novel type of micropropulsion device. Comparison between different moment-matching algorithms including a new two-sided Arnoldi algorithm, is performed.
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