Consistency checking and optimization of macromodels

A systematic methodology for automatic consistency checking and optimization of parameterized macromodels is described. An overview of the entire macromodel verification system. iMAVERICK, is provided. An efficient stochastic algorithm to optimize the parameters of a given macromodel is described, and a number of characteristics of the algorithm are examined. A heuristic measure of the likelihood that a cost evaluation will provide useful information or a better solution that is used in the algorithm is based on the information accumulated from the previous cost evaluations. This heuristic measure is used to reject poor sample points without sacrificing the quality of solutions. A waveform comparison technique for evaluating the performance of the proposed configuration in the optimization process is described. It is sensitive to phase errors between waveforms and has the capability of filtering out glitches and high-frequency noise. Several examples of macromodel optimization using the iMAVERICK system are presented