Krylov-subspace-based order reduction methods applied to generate compact-electro-thermal models for MEMS

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

The high power dissipation density in today s miniature electronic/mechanical systems makes on-chip thermal management crucial. In order to achieve quick-to-evaluate, yet accurate electro-thermal models, needed for the thermal management of microsystems, model order reduction is necessary. In this paper, we use Krylov-subspace methods for the order reduction of a electro-thermal 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.

Original languageEnglish
Title of host publication2003 Nanotechnology Conference and Trade Show - Nanotech 2003
EditorsM. Laudon, B. Romanowicz
Pages582-585
Number of pages4
StatePublished - 2003
Externally publishedYes
Event2003 Nanotechnology Conference and Trade Show - Nanotech 2003 - San Francisco, CA, United States
Duration: 23 Feb 200327 Feb 2003

Publication series

Name2003 Nanotechnology Conference and Trade Show - Nanotech 2003
Volume2

Conference

Conference2003 Nanotechnology Conference and Trade Show - Nanotech 2003
Country/TerritoryUnited States
CitySan Francisco, CA
Period23/02/0327/02/03

Keywords

  • Arnoldi process
  • Compact thermo-electric model
  • Krylov-subspace
  • Lanczos algorithm
  • Order reduction

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