Recursive parameter identification for fermentation processes with the multiple model technique. (English) Zbl 1243.93072

Summary: This paper considers parameter identification problems for a fermentation process. Since the fermentation process is nonlinear, it is difficult to use a single-model for describing such a process and thus we use the multiple model technique to study the identification methods. The basic idea is to establish the model of the fermentation process at each operation point by means of the least squares principle, to obtain multiple models with different points, and then use the weighting functions or interpolation methods to compute the total model or the global model. Finally, a numerical example is provided to test the effectiveness of the proposed algorithm.


93C95 Application models in control theory
93E12 Identification in stochastic control theory
92C40 Biochemistry, molecular biology
Full Text: DOI


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