Model Based Predictive Control Using Neural Network for Bioreactor Process Control
نویسندگان
چکیده
This paper deals with a neural network based GPC structure for a bioprocess control. Comparing to IMC structure, this method offers two advantages: the neural inverting operation of the process model is eliminated and there are various possibilities to adjust the control law properties. The GPC method is applied to a biomass production process and to an enzymatic production process (lipase producing). In both cases many simulation results are presented which illustrate the validity of the method.
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تاریخ انتشار 2003