Interpolation of Reduced-Order Models Based on Modal Analysis

A parametric model-order reduction method based on interpolation of reduced-order models, namely the polematching method, is proposed for linear systems in the frequency domain. It captures the parametric dynamics of the system by interpolating the positions and amplitudes of the poles. The pole-matching method relies solely on the reduced-order models themselves, regardless of how they are built. It is able to deal with many parameters as well as complicated parameter dependency. Numerical results show that the proposed pole-matching method gives accurate results even when it interpolates two reducedorder models of completely different nature, one computed by a projection-based method and the other computed by a datadriven method.