Fuzzy logic control based on neural network nonlinear prediction

Abstract

This paper presents a new fuzzy logic control method for time invariant nonlinear system based on neural network nonlinear prediction. It includes two parts: the neural network predictive model, which predicts the nonlinear system output; the weighted fuzzy logic controllers, which do the fuzzy operation according to prediction error between set value and predictive value, and then give out the control output. The simulation result shows that this method has excellent tracking performance, anti-interference capability as well as good dynamic and static performance indexes.