Fuzzy neural networks: a backpropagation algorithm specific to the controller of Sugeno

Abstract

This paper presents a modified backpropagation algorithm well suited to fuzzy neural networks. The authors particularly treat the case of the controller of Sugeno. The authors use this controller to pilot a fast mobile robot in an unstructured environment. The membership functions and the consequences of the rules are automatically adapted by the backpropagation algorithm.