[Modelling a penicillin fed-batch fermentation using least squares support vector machines].
The biochemical processes are usually characterized as seriously time varying and nonlinear dynamic systems. Building their first-principle models are very costly and difficult due to the absence of inherent mechanism and efficient on-line sensors. Furthermore, these detailed and complicated models do not necessary guarantee a good performance in practice. An approach via least squares support vector machines (LS-SVM) based on Pensim simulator is proposed for modelling the penicillin fed-batch fermentation process, and the adjustment strategy for parameters of LS-SVM is presented. Based on the proposed modelling method, the predictive models of penicillin concentration, biomass concentration and substrate concentration are obtained by using very limited on-line measurements. The results show that the models established are more accurate and efficient, and suffice for the requirements of control and optimization for biochemical processes.
National Laboratory of Industrial Control Technology, Institute of Industrial Process Control, Zhejiang University, Hangzhou 310027, China.
Yi
Y
Liu
Hai-Qing
HQ
Wang
D018533:Biomass; D003198:Computer Simulation; D005285:Fermentation; D016018:Least-Squares Analysis; D008954:Models, Biological; D015233:Models, Statistical; D017711:Nonlinear Dynamics; D010406:Penicillins / Q000032:analysis / Q000096:biosynthesis*
D010406:Penicillins