Feedforward control extractive

Holena, M., Baerns, M., Feedforward neural networks in catalysis, a tool for the approximation of the dependency of yield on catalyst composition, and for knowledge extraction, Catal. Today 2003, 81, 485-494. Serra, J. M., Corma, A., Argente, E., Valero, S., Botti, V., Neuronal networks for modeling of kinetic reaction data applicable to catalyst scale up and process control and optimization in the frame of combinatorial catalysis, Appl. Catal. A 2003, 254, 133-145. 

Results of the MPC feedforward-feedback MPC are presented in Fig.6 and Fig.7. A detailed representation, extracted from the 14 days simulation of the WWTP control, is shown for revealing incentives of the proposed control approach. 

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