Internal model control for a continuous, snack food frying process using neural networks Academic Article uri icon


  • Based on a developed neural network one-step-ahead prediction model with two inputs and two outputs, an internal model control (IMC) loop is established for process control of a continuous, snack food frying process. In this multivariable control loop, each control action is computed iteratively by a modified Newton's and gradient descent methods to inverse the process prediction model equation at each time instant. Using this control loop, the time-lags between the process inputs and outputs are compensated. Results of controller simulation of the continuous, snack food frying process are presented.

published proceedings


author list (cited authors)

  • Huang, Y., Whittaker, A. D., & Lacey, R. E

complete list of authors

  • Huang, Y||Whittaker, AD||Lacey, RE

publication date

  • September 1998