Sensitivity analysis for the purposes of parameter identification of a s. cerevisiae fed-batch cultivation

Authors:
Maria Angelova;Tania Pencheva
Affiliations:
Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria;Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria
Venue:
LSSC'11 Proceedings of the 8th international conference on Large-Scale Scientific Computing
Year:
2011

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Parameter Estimation of a Monod-Type Model Based on Genetic Algorithms and Sensitivity Analysis

Large-Scale Scientific Computing

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Abstract

The application of the sensitivity analysis to parameter identification of a S. cerevisiae fed-batch cultivation is presented. Parameter identification of a cultivation described with a fifth order non linear mathematical model is a difficult task because of the high number of parameters to be estimated. The aim of the study is the sensitivity analysis to be applied to determine the most significant parameters and to answer the question which parameters are most easily estimated. For that purpose a sensitivity model of a S. cerevisiae fed-batch cultivation is developed and as a result a stepwise parameter identification procedure is proposed.