Abstract
This paper presents a practical control method for the experimental mobile vehicle. By merging the advantages of the neural network, adaptive algorithm and fuzzy control, the adaptive fuzzy control based on neural network is presented. This adaptive fuzzy control system can deal with a large amount of training data by the neural network, from these data produce more reasonable fuzzy rules by the adaptive (clustering) algorithm, at last control the object by the fuzzy control. It is not the simple combination of the three methods, but merging them into one control system. Experiments and some future considerations are also given.
