Title :
Bioreactor states estimation in the feedbatch process using differential neural networks
Author :
Cabrera, Agustln I. ; Poznyak, Alexander ; Poznyak, Tatiana
Abstract :
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
Keywords :
biotechnology; fermentation; modelling; neural nets; state estimation; bioreactor states estimation; differential neural networks; dynamic neural network technique; feedbatch process; numerical simulations; observability conditions; Biomass; Bioreactors; Control theory; Equations; Intelligent networks; Neural networks; Numerical simulation; Observability; Observers; State estimation;
Conference_Titel :
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-6465-1
DOI :
10.1109/IEMBS.2000.901483
