SVD-Krylov based techniques for structure-preserving reduced order modelling of second-order systems
Abstract
<abstract><p>We introduce an efficient structure-preserving model-order reduction technique for the large-scale second-order linear dynamical systems by imposing two-sided projection matrices. The projectors are formed based on the features of the singular value decomposition (SVD) and Krylov-based model-order reduction methods. The left projector is constructed by utilizing the concept of the observability Gramian of the systems and...
Paper Details
Title
SVD-Krylov based techniques for structure-preserving reduced order modelling of second-order systems
Published Date
Jan 1, 2021
Volume
1
Issue
2
Pages
79 - 89
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