S. R. Li, H. T. Shi and F. Li. “RBFNN Based Direct Adaptive Control of MIMO Nonlinear System and Its Application to a Distillation Column,” Proceedings of World Conference of Intelligent Control and Automation, Shanghai, 10-14 June 2002, pp. 2896-2900.

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.