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An overview of modern, automated analog circuit modeling methods: similarities, strengths, and limitations

An overview of modern, automated analog circuit modeling methods: similarities, strengths, and limitations

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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.

Chapter Contents:

  • 6.1 Introduction
  • 6.2 Symbolic analysis
  • 6.2.1 Fundamental symbolic methods
  • 6.2.2 Beyond linear filters: simplification and hierarchical symbolic expressions
  • 6.2.3 Tackling complexity: advanced symbolic representations and beyond linear analysis
  • 6.3 Circuit macromodeling
  • 6.4 Neural networks for circuit modeling
  • 6.5 Discussion and metatheory on analog circuit modeling
  • 6.6 Conclusions
  • References

Inspec keywords: analogue circuits; network synthesis; logic design; neural nets

Other keywords: circuit parameter optimization; analog circuit modeling; macromodeling; neural network; symbolic methods; analog circuit operation

Subjects: Digital circuit design, modelling and testing; Neural nets (circuit implementations); Logic design methods; Neural net devices; Analogue processing circuits

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