Study on the application of the fuzzy RBF neural network in the MIMO furnace control system

Abstract

A multi-input/multi-output (MIMO) furnace control system based on the PID control and the fuzzy radical basis functions neural network(FRBFNN) control is presented, in this paper. In addition, the structure models and relative learning algorithms of the FRBFNN controller are gived. At last, simulation and experiment results based on an application of the MIMO furnace control system are provided to show that FRBFNN-control system has more robustness than the PIDcontrol system especially in reducing noise and overcoming non linearities. Index Terms-multi-input/multi-output (MIMO)fuzzy radical basis functions neural network(FRBFNN) learning algorithms furnace control system I.