Abstract
In this paper, an unstructured model based on Sonnleitner's model is presented and an identification procedure for five kinetic parameters is developed on the basis of the optimal experimental design theory. When the number of estimated parameters is larger than two, the difficulty associated with the selection of input signals with enough degrees of freedom for an accurate identification of all the parameters is highlighted. It is shown that a simultaneous decomposition of the model and the optimisation problem allows input signals to be selected, which sufficiently excite the bioprocess and allow the required level of decorrelation and accuracy to be achieved.
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