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S. Skogestad and M. Morari, “Understanding the Dynamic Behavior of Distillation Columns,” Industrial & Engineering Chemistry Research, Vol. 27, No. 10, 1988, pp. 1848-1862. doi:10.1021/ie00082a018

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.