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Integrated Circuit Emission Model Extraction with a Fuzzy Logic System

Author

Listed:
  • Tsung-Chih Lin

    (Feng Chia University, Taiwan)

  • Ming-Jen Kuo

    (Feng Chia University, Taiwan)

  • Alexandre Boyer

    (University of Toulouse, France)

Abstract

This paper describes a novel technique for multiple parameter extraction of the S12X TEM cell model using a fuzzy logic system (FLS). The FLS is utilized to capture the circuit information and to extract the circuit parameters based on experiential knowledge. The proposed extraction technique uses both linguistic information (i.e., human-like knowledge and experience) and numerical data of measurement to construct the fuzzy macromodel. The simulation results confirm the validity and estimation performance of the equivalent circuit by the advocated design methodology.

Suggested Citation

  • Tsung-Chih Lin & Ming-Jen Kuo & Alexandre Boyer, 2011. "Integrated Circuit Emission Model Extraction with a Fuzzy Logic System," International Journal of Fuzzy System Applications (IJFSA), IGI Global, vol. 1(2), pages 17-28, April.
    • Handle: RePEc:igg:jfsa00:v:1:y:2011:i:2:p:17-28
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