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S. Li and F. Li, “Dynamic Neural Network Based Nonlinear Adaptive Control for a Distillation Column,” Proceedings of the 3rd World Congress on Intelligent Control and Automation, Hefei, June 28-July 2 2000, pp. 3087-3091.

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.