Error Estimation for Arnoldi-based Model Order REduction of MEMS

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In this paper we present a heuristic error estimation for the Pade-type approximation of transfer function via Arnoldi algorithm. We suggest using the solution of the Lyapunov equations for reduced-order systems as a stop-criterion in an iterative model order reduction. We further propose a convergence criterion between each two “neighbored” reduced models of the order r and r+1.

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Journal: TechConnect Briefs
Volume: 2, Technical Proceedings of the 2004 NSTI Nanotechnology Conference and Trade Show, Volume 2
Published: March 7, 2004
Pages: 430 - 433
Industry sectors: Advanced Materials & Manufacturing | Sensors, MEMS, Electronics
Topics: Informatics, Modeling & Simulation
ISBN: 0-9728422-8-4