The research of fuzzy neural network controller based on rough set

Due to the complication of modern industrial process, and the increase of nonlinearity and uncertainty in it, this paper proposed a designing method of fuzzy neural network controller based on rough set. The method combines the Rough set and fuzzy neural network, which can derive control rules from input-output data effectively and rind the minimal set of rules. And this method can solve the "rule explosion" problem. Results obtained from a simulation using MATLAB indicate that the proposed method has good-quality controlling ability and self-adaptive ability when encountering sudden disturbances.