A macromodel is an electrical network containing fewer devices and/or fewer nodes than the circuit it represents. A general-purpose algorithm for the generation of macromodels suitable for circuit simulation is presented. The algorithm is based exclusively on a comparison of the input-output behavior of the macromodel with that to the circuit to be modeled. Because no reliance on any particular properties of the circuit is made, the algorithm can be used to model a very wide class of circuits. Three examples are presented to demonstrate the algorithm's performance, two of which were chosen specifically to test the algorithm's ability to approximate nonlinearities in the circuits to be modeled. In all cases, the accuracy of the macromodels was shown to improve substantially using reasonable amounts of CPU time.
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