Nano Science and Technology Institute
Nanotech 2004 Vol. 2
Nanotech 2004 Vol. 2
Technical Proceedings of the 2004 NSTI Nanotechnology Conference and Trade Show, Volume 2
Chapter 8: Computational Methods and Numerics

Error Estimation for Arnoldi-based Model Order REduction of MEMS

Authors:T. Bechtold, E.B. Rudnyi and J.G. Korvink
Affilation:University of Freiburg, Germany, DE
Pages:430 - 433
Keywords:error estimate, Arnoldi algorithm
Abstract: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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