Time-domain linear macromodeling

In this chapter, we have presented both basic and advanced material on linear macromodeling, with emphasis on scalable parameterized models. We have discussed the various aspects that are relevant for a successful macromodel extraction, including choice of model structure, identification algorithms with stability and passivity constraints, and finally model realization in terms of differential equations or equivalent circuits. Although concise, the material in this chapter is reasonably self-contained and can be used as an introduction to the topic. We refer the reader to the list of references, in particular [1] for a complete treatment.