Steady-State Optimization of Industrial Processes Based on CMAC Neural Network

A kind of identification and steady state optimization method based on CMAC (cerebellar model articulation controller) neural network to industrial process is proposed. The method makes use of the advantage of CMAC neural network and considers dynamic information of the system to obtain steady state model without interfering on the formal operation of the system. Based on the model, steady state of the system is optimized. The result of simulation proves the effectiveness of the method.