Design a Multivariable Adaptive Fuzzy Controller by Fuzzied Radial Basis Function Network Simplified Model
用模糊RBF神经网络简化模型设计多变量自适应模糊控制器

This paper presents a simplified model and the corresponding algorithm of fuzzy radial basis function (RBF) networks to solve the real time control of multivariable process. Authors also analyze the self learning algorithm of multivariable fuzzy controller designed by this simplified model and discuss a new method to treat system dynamics gain in the self learning algorithm. Furthermore a modified self learning algorithm is presented based on process parameters optimization. Finally computer simulation results of an industrial process verify that the simplified model and the modified algorithm are available and effective.