Neuro-Dynamic Optimal Control of a L-Lysine Fed-Batch Fermentation

ABSTRACT

In this paper is developed an optimal control of fermentation process of L-lysine production with the Neuro-dynamic programming theory. A approximation neural network is developed and the decision of the optimization problem is improved by an iteration mode founded on the Bellman equation. With this optimization procedure the quantity L-lysine productions is increased at the end of the process.