ALGORITHMS OF INTEGRATED SYSTEM OPTIMIZATION AND PARAMETER ESTIMATION (ISOPE) BASED ON NEURAL NETWORK

This paper proposes two modified algorithms of ISOPE based on neural network(NN).In order to avoid perturbation on the real process and decrease the number of setpoint changes,dynamic informa- tion is fully used to identify the dynamic NN model,which is applied in steady-state optimization of industrial processes.The results of simulation show that the two modified algorithms are effective.