Fuzzy logic approach to identification of nonlinear characteristic

Abstract

Identification of nonlinear characteristic using fuzzy approach is considered. A fuzzy model is represented as a number of rules. The condition part of the rule is determined by a fuzzy partition of the input space, and the action part of the rule is a regression model where the regression coefficients have to be identified. The method is applied to identification of nonlinear characteristic of a separately excited DC motor.