Human-analogous Network-based Fuzzy logic control : A case study of servo control of a cart moving on a linear track

摘要

In this paper we present a new method to tune the rule base in a fuzzy logic controller using a neural network approach trained by human data, with application of servo-control of a cart moving on a linear track. We take advantage of direct implementation