Weighting Strategies for Passivity Enforcement Schemes

We present a general class of frequency-selective weighting schemes, allowing for a drastic accuracy improvement when embedded in passivity enforcement algorithms for linear lumped macromodels. The proposed technique minimizes the in-band model perturbation while achieving global passivity, even in the difficult case of large out-of-band passivity violations.