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• W1648161269 abstract "SummaryA standard approach to reduced-order modeling of higher-order linear dynamical systems is to rewrite the system as an equivalent first-order system and then employ Krylov-subspace techniques for reduced-order modeling of first-order systems. While this approach results in reduced-order models that are characterized as Padé-type or even true Padé approximants of the system's transfer function, in general, these models do not preserve the form of the original higher-order system. In this paper, we present a new approach to reduced-order modeling of higher-order systems based on projections onto suitably partitioned Krylov basis matrices that are obtained by applying Krylov-subspace techniques to an equivalent first-order system. We show that the resulting reduced-order models preserve the form of the original higher-order system. While the resulting reduced-order models are no longer optimal in the Padé sense, we show that they still satisfy a Padé-type approximation property. We also introduce the notion of Hermitian higher-order linear dynamical systems, and we establish an enhanced Padé-type approximation property in the Hermitian case." @default.
• W1648161269 created "2016-06-24" @default.
• W1648161269 creator A5004737240 @default.
• W1648161269 date "2005-10-07" @default.
• W1648161269 modified "2023-10-06" @default.
• W1648161269 title "Padé-Type Model Reduction of Second-Order and Higher-Order Linear Dynamical Systems" @default.
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• W1648161269 doi "https://doi.org/10.1007/3-540-27909-1_8" @default.
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