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Bioreactor states estimation in the feedbatch process using differential neural networks

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3 Author(s)

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

Published in:

Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE  (Volume:4 )

Date of Conference:

2000

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