Robot tracking control based on fuzzy wavelet basis neural networks

Abstract

A fuzzy neural network is proposed for robot tracking control. This fuzzy neural network uses wavelet basis function as membership function whose shape can be adjusted on line so that the networks have better learning and adaptive ability. The results of simulation show that the network can be well applied to robot tracking.