Fuzzy Logic Control Implementation by Radial Basis Function Network

摘要

This paper presents a method for command action approximation of a fuzzy logic controller (FLC) by radial basis function networks (RBFN). The neural network is used to approximate a nonlinear function given by FLC. In this manner, the control strategies of a fuzzy logic controller (FLC) are transfered in a RBFN. The structure control is applied to the well known benchmark problem of rolling stability system. The neuro-fuzzy control structure presented in this paper is very attractive as it may be used also within self-organizing schemes.