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

	Nanotech 2003 Vol. 2 Technical Proceedings of the 2003 Nanotechnology Conference and Trade Show, Volume 2 Chapter 12: Computational Methods and Numerics
	Krylov-Subspace-Based Order Reduction Methods Applied to Generate Compact Thermo-Electric Models for MEMS
Authors:	T. Bechtold, B. Salimbahrami, E.B. Rudnyi, B. Lohmann and J.G. Korvink
Affilation:	IMTEK, University of Freiburg, DE
Pages:	582 - 585
Keywords:	MEMS, Krylov subspace, order reduction, Arnoldi algorithm
Abstract:	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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ISBN:	0-9728422-1-7
Pages:	600
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