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Neural network modeling and nonlinear predictive control of a biotechnological fed-batch process

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3 Author(s)
Nikfetrat, A. ; Dept. of Control Eng., Electr. Eng. Res. Center, Tehran, Iran ; Vali, A.R. ; Babaeipour, V.

Fed-batch fermentation processes are common methods of producing biological recombinant from different microorganisms. Model-based control of bioprocesses is a difficult task due to the challenges associated with bioprocess modeling. The paper deals with the multilayer perceptron neural network modeling of fed-batch cultivation of E. coli BL21 (DE3) [pET3a-ifn¿] under maximum attainable specific growth rate in the whole of process for producing ¿-interferon protein based on experimental data. The neural network model based predictive control (NNMPC) scheme is designed for controlling the considered fed-batch biotechnological process. The nonlinear predictive control based on this model show good performance for tracking reference trajectories.

Published in:

Control and Automation, 2009. ICCA 2009. IEEE International Conference on

Date of Conference:

9-11 Dec. 2009