Krylov-Subspace-Based Order Reduction Methods Applied to Generate Compact Thermo-Electric Models for MEMS

T. Bechtold, B. Salimbahrami, E. B. Rudnyi, B. Lohmann and J. G. Korvink
Ms., DE

Keywords: MEMS, Krylov subspace, Order reduction, Arnoldi algorithm

Abstract:
A high power dissipation density in today's 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.

NSTI Nanotech 2003 Conference Technical Program Abstract