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Communication Dans Un Congrès Année : 2017

Building Real Subspaces for Projection Based Model Order Reduction with Applications in Computational Electromagnetics

Résumé

Model order reduction techniques have been used in the last decades to perform fast simulations of sets of equations obtained by field computation methods like PEEC. More specifically, moment matching approaches have been especially successful for this application. However, some attention must be paid in computation of the projection subspace to be able to produce real state space equations for the reduced system. In order to do this, a modified Arnoldi iteration is presented in this paper. This technique assures that the computed projection matrix is real and orthogonal. A loop antenna, obtained by PEEC, is used as an application example with very encouraging results.
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Dates et versions

hal-01693115 , version 1 (21-04-2020)

Identifiants

  • HAL Id : hal-01693115 , version 1

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Mateus Antunes Oliveira Leite, Benoît Delinchant, Jean-Michel Guichon, João A. Vasconcelos. Building Real Subspaces for Projection Based Model Order Reduction with Applications in Computational Electromagnetics. Compumag, Jun 2017, Daejeon, South Korea. ⟨hal-01693115⟩
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