An Adaptive Fuzzy Neural Network Controller and its Application

Abstract

Using the fuzzy control and artificial neural network methodologies, an adaptive frizzy neural network control scheme was presented. In this scheme the fuzzy control rule is described in the form of an analytical formula instead of common fuzzy rule table, so the fuzzy control rule can be adaptive modified. In this way, one can overcome the difficulties of choosing fuzzy rule by human experiences or trial-and-error. The experiment results show the control scheme is available