Abstract
Analog circuit modeling is the procedure through which analog circuit operation and performance are described by a succinct, comprehensive yet accurate representation. Circuit modeling has application in numerous design-related activities, like getting insight into circuit operation, circuit topology synthesis and improvement, circuit parameter optimization, fast simulation, design centering and yield improvement, test and validation, and design knowledge representation. This chapter offers an overview of some of the main methodologies and algorithms for analog circuit modeling without claiming that it exhaustively summarizes the entire research domain. It would be very hard considering the large number of publications on analog circuit modeling. This chapter mainly focuses on three main categories of automated circuit modeling techniques: symbolic methods, neural network (NN)-based approaches, and macromodeling. The related techniques are grouped depending on the similarity of their pursued goals and concepts. The chapter refers to close to 100 papers to present the capabilities, strengths, and limitations of the different methods.
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