Self-constructing compact parametric macromodels for efficient electronic design

We propose a modeling technique able to generate very efficient parametric macromodels in an automated way. The design space samples needed to build the parametric macromodels are chosen automatically by means of a suitable adaptive sampling algorithm. The size of the parametric macromodels does not increase with the number of design parameters, which leads to compact models. Stability and passivity are preserved over the design space of interest. Pertinent numerical results validate the proposed approach.