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A Krylov subspace method based on multi-moment matching for model order reduction of large-scale second order bilinear systems

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Abstract In this paper, a Krylov subspace method based on multi-moment matching is utilized for model order reduction of large-scale second order bilinear systems. Accordingly, model order reduction procedure will… Click to show full abstract

Abstract In this paper, a Krylov subspace method based on multi-moment matching is utilized for model order reduction of large-scale second order bilinear systems. Accordingly, model order reduction procedure will be directly applied to second order systems which avoids converting them into first order ones. In this way, the main characteristics of the second order system such as symmetry and positive definiteness of the mass and stiffness matrices will be preserved. Furthermore, an electrostatically actuated micro-electro-mechanical system device will be considered as a case study to show the effectiveness of the presented method. Simulation results indicate the excellent performance of the proposed model order reduction method.

Keywords: order; second order; method; model order; order reduction

Journal Title: Applied Mathematical Modelling
Year Published: 2018

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