Fuzzy model-based predictive control using an ARX structure with feedforward

A long-range model-based predictive control algorithm which is based on the Takagi-Sugeno-Kang piece-wise linear fuzzy modelling approach is proposed. A non-linear multivariable chemical processes represented by a binary distillation column is used as a test-bed for a series of experiments, results of which suggest that the controller performs better than the long-range predictive control algorithm which is based on a linear modelling approach, in terms of effective set-point tracking and interactions handling. (C) 2002 Elsevier Science B.V. All rights reserved.