Abstract
A general framework for structure-preserving model reduction by Krylov subspace projection methods is developed. The goal is to preserve any substructures of importance in the matrices L, G, C, B that define the model prescribed by transfer function H(s)=L*(G +sC)−−1B. Many existing structure-preserving model-order reduction methods for linear and second-order dynamical systems can be derived under this general framework.
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