Optimal Control of a Fed-batch Fermentation Process by Neuro-Dynamic Programming

In this paper the method for optimal control of a fermentation process is presented, that is based on an approach for optimal control-Neuro-dynamic programming. For this aim the 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 approach computing time and procedure are decreased and quality of the biomass at the end of the process is increased.