Bioreactor states estimation in the feedbatch process using differential neural networks

For the feedbatch fermentation process (FFP) the estimation of the model's states is realized in two steps: first, the observability conditions of the considered FFP-model are derived; second, the dynamic neural network technique is applied to obtain the current state estimations. The numerical simulations illustrate the effectiveness of the suggested approach.