Sensitivity analysis using data-driven parametric macromodels

An accurate parametric macromodeling method which builds the parameterized frequency behavior of systems from frequency data samples is presented. The method aims to calculate parametric sensitivity responses of the model with respect to design parameters over the entire design space. A judiciously chosen interpolation scheme is used to parameterize state-space matrices such that parametric sensitivities can be computed analytically. The modeling capability of the proposed method is validated by a pertinent numerical example.