Identification of Yield Coefficients in an E. Coli Model - an Optimal Experimental Design Using Genetic Algorithms
نویسندگان
چکیده
An optimal experimental design for yield coefficients estimation in an unstructured growth model of fed-batch fermentation of E. coli is presented. The feed profile is designed by optimisation of a scalar function based on the Fischer Information Matrix. A genetic algorithm is proposed as the optimisation method due to its efficiency and independence on the initial values. Copyright 2004 IFAC Key-words: Optimisation, genetic algorithms, Fisher Information Matrix, fed-batch fermentation, E. coli, yield coefficients.
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