Abstract
This paper describes an experimental investigation concerning the use of neural networks to achieve the non-linear control of a continuous stirred tank fermenter. The influent dilution rate and the substrate concentration have been selected as control variables. The backpropagation learning algorithm has been used for both off-line and on-line identification of the inverse model which provides the control action. Experimental results show the performance and the implementation simplicity of this control approach.
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Chtourou, M., Najim, K., Roux, G. et al. Control of a bioreactor using a neural network. Bioprocess Engineering 8, 251–254 (1993). https://doi.org/10.1007/BF00369837
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DOI: https://doi.org/10.1007/BF00369837