Resumen
For the feedbatch fermentation process (FFP) the estimation of the model's states is realized in two steps: ...rst, 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.
Idioma original | Inglés |
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Páginas (desde-hasta) | 2906-2909 |
Número de páginas | 4 |
Publicación | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
Volumen | 4 |
Estado | Publicada - 2000 |
Evento | 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Chicago, IL, Estados Unidos Duración: 23 jul. 2000 → 28 jul. 2000 |