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The work described in the paper represents a stage in the development of an industrially realistic, adaptive control strategy for those many batch fermentation processes where biomass and secondary product concentrations are difficult to measure accurately, reliably and rapidly enough to allow good on-line control to be achieved. The paper describes results achieved in the estimation of biomass...
In this paper a model-based approach for on-line estimation of product formation in a fermentation broth is presented. The validation of the proposed method is demonstrated both in pH controlled and uncontrolled fermentation of the bacteria Streptococcus thermophilus. As the concentration of lactic acid produced by the bacteria can not be measured on-line, but is a requisite for predicting the harvesting...
To found the suitable models to describe the behavior of biochemistry systems, the dynamic epsiv-SVM method was proposed on the basis of SVM. Each training sample uses different error. The existed methods for selecting the parameters of SVM not only consume time, but also are difficult to find the optimal parameters. The optimal parameters were automatically decided by using multi-object genetic algorithm...
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