The development and implementation of two multivariable nonlinear fuzzy modelbased adaptive predictive control schemes to a copolymerization process is described in this paper. Multi-input/single-output models are developed using fuzzy logic and combined to form a parallel system model for simulation and on-line prediction. The behavior of the outlined controllers were compared to the dynamic matrix control (DMC) and to a typical nonlinear model-based predictive control (typical NMPC) for regulatory problem. The obtained results showed the effectiveness of the proposed structures. © 2011 Elsevier B.V.
Adaptive Advanced Control of a Copolymerization System
MANENTI, FLAVIO;
2011-01-01
Abstract
The development and implementation of two multivariable nonlinear fuzzy modelbased adaptive predictive control schemes to a copolymerization process is described in this paper. Multi-input/single-output models are developed using fuzzy logic and combined to form a parallel system model for simulation and on-line prediction. The behavior of the outlined controllers were compared to the dynamic matrix control (DMC) and to a typical nonlinear model-based predictive control (typical NMPC) for regulatory problem. The obtained results showed the effectiveness of the proposed structures. © 2011 Elsevier B.V.File in questo prodotto:
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