Nonlinear black-box modeling in system identification: a unified overview
Automatica (Journal of IFAC) - Special issue on trends in system identification
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Macromodeling of nonlinear driver and receiver circuits
Macromodeling of nonlinear driver and receiver circuits
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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.