Controlled variable Disturbance (load) variable Value of step change Method MSE
Naphtha D86 95% Temperature of feed, (°C) 350-340 Neural predictive 165.7
Temperature of feed, (°C) 350-340 NARMA-L2 103.1
Kerosene D86 95% Temperature of feed, (°C) 350-340 Neural predictive 182.7
Temperature of feed, (°C) 350-340 NARMA-L2 150
Diesel D86 95% Temperature of feed, (°C) 350-340 Neural predictive 41.12
Temperature of feed, (°C) 350-340 NARMA-L2 18.61
Top pumparounds temperature controller Temperature of feed, (°C) 350-340 Neural predictive 0.515
Temperature of feed, (°C) 350-340 NARMA-L2 0.43
Intermediate pumparounds temperature controller Temperature of feed, (°C) 350-340 Neural predictive 0.725
Temperature of feed, (°C) 350-340 NARMA-L2 1.559
Bottom pumparounds temperature controller Temperature of feed, (°C) 350-340 Neural predictive 14.88
Temperature of feed, (°C) 350-340 NARMA-L2 7.59
Table 2: The mean square error (MSE) for neural network method.