M. ?awryńczuk, “Explicit Nonlinear Predictive Control of a Distillation Column Based on Neural Models,” Chemical Engineering & Technology, Vol. 32, No. 10, 2011, pp. 1578-1587.
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.