The Application of Adaptive Critic Design in the Nosiheptide Fermentation

Authors:
Dapeng Zhang;Aiguo Wu;Fuli Wang;Zhiling Lin
Affiliations:
School of Electrical Engineer and Automation, Tianjin University, 300072, Tianjin, China;School of Electrical Engineer and Automation, Tianjin University, 300072, Tianjin, China;College of Information Science and Engineering, Northeast University, 110004, Shenyang, China;College of Information Science and Engineering, Northeast University, 110004, Shenyang, China
Venue:
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Year:
2007

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Abstract

An adaptive critic design is used in the nosiheptide fermentation process to solve the intractable optimization problem. The utility function is defined as the increment of biomass concentration at the adjacent intervals. The state variables are chosen as the biomass concentration, the substrate concentration, the dissolved oxygen concentration and the inhibition concentration. The decision variables are chosen as the temperature, the stirring speed, the airflow and the tank pressure. The adaptive critic method determines optimal control laws for a system by successively adapting the critic networks and the action network. The simulation shows at the same initial conditions this technique can make the fermentation shorten 6 hours.