Efficient passivity verification of delayed rational function macromodels from networks characterized by tabulated data

In this paper, an efficient passivity verification algorithm is presented for delayed rational function based macromodels obtained from tabulated scattering parameter data. The proposed approach is based on a new half-size frequency dependent generalized eigenvalue problem, which reduces the necessary search region to a single finite interval along the imaginary axis. Numerical results validating improved efficiency of the proposed algorithm over previous techniques are also presented.