Structure-Preserving Model Reduction
نویسندگان
چکیده
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.
منابع مشابه
Structure-Preserving Model Reductions using a Krylov Subspace Projection Formulation
A general framework for structure-preserving model reductions by Krylov subspace projection methods is developed. It not only matches as many moments as possible but also preserves substructures of importance in the coefficient matrices L,G,C, and B that define a dynamical system prescribed by the transfer function of the form H(s) = L∗(G+sC)−1B. Many existing structure-preserving model-order r...
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