D. Muhammad, Z. Ahmad and N. Aziz, “Implementation of Internal Model Control (IMC) in Continuous Distillation Column,” Proceedings of the 5th International Symposium on Design, Operation and Control of Chemical Processes, Singapore, 16 February 2010, pp. 812-821.

has been cited by the following article:

• TITLE: Dynamic Neural Network Based Nonlinear Control of a Distillation Column

  AUTHORS: Feng Li

  KEYWORDS: Distillation Column, Dynamic Neural Network, Nonlinear H∞ Control

  JOURNAL NAME: Intelligent Control and Automation, Vol.2 No.4, November 2, 2011

  ABSTRACT: Taking advantage of the knowledge of top and bottom compositions of a distillation column, a dynamic neural network (DNN) is designed to identify the input-output relationship of the column. The weight-training algorithm is derived from a Lyapunov function. Based on this empirical model, a nonlinear H∞ controller is synthesized. The effectiveness of the control strategy is demonstrated using simulation results.