Article ID Journal Published Year Pages File Type
173543 Computers & Chemical Engineering 2008 10 Pages PDF
Abstract

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 δ-endotoxins production process.

Related Topics
Physical Sciences and Engineering Chemical Engineering Chemical Engineering (General)
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