262 research outputs found
Interpolatory Weighted-H2 Model Reduction
Get PDFThis paper introduces an interpolation framework for the weighted-H2 model
reduction problem. We obtain a new representation of the weighted-H2 norm of
SISO systems that provides new interpolatory first order necessary conditions
for an optimal reduced-order model. The H2 norm representation also provides an
error expression that motivates a new weighted-H2 model reduction algorithm.
Several numerical examples illustrate the effectiveness of the proposed
approach
The one-sided Loewner framework and connections to other model reduction methods based on interpolation
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The Loewner framework for nonlinear identification and reduction of Hammerstein cascaded dynamical systems
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A framework for fitting quadratic-bilinear systems with applications to models of electrical circuits
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