Año: 2008
Autores: di Sciascio, F. ;Amicarelli, A. ;
Resumen: This paper proposes a biomass concentration estimator for a batch biotechnological process based on
Bayesian regression with Gaussian process. On the basis of experimental data, a two-stage bootstrap
technique has been developed for the estimator design. In the first stage, the biomass data set was augmented
with virtual filtered measurements, and in the second stage, the biomass estimator design was
completed. The method provides information on the confidence level of the estimates, and the biomass
estimator performances are illustrated for the Bacillus thuringiensis -endotoxins production process.
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