Cmos Design of Analog Fuzzy System

This paper proposes several improved CMOS analog integrated circuits for fuzzy inference system as the general modules, including voltage-mode implementations of minimization circuit, programmable Gaussian-like membership function circuit, and centroid algorithm normalization circuit without using division. A two-input/one-output fuzzy system composed of these circuits is implemented and testified as a nonlinear function approximator. HSPICE simulation results show that the proposed circuits provide characteristics of high operation capacity, simple inference, low power dissipation, and high precision.