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COMPUTER-AIDED OPERATION. Edition No. 1

VDM Publishing House, April 2010, Pages: 284


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The main purposes of this thesis were the development of a mathematical framework able to describe the main features of the fed-batch fermentation of a recombinant E. coli strain, in order to derive optimal and model-based adaptive control approaches to improve heterologous protein production by computer-aided process operation. The dynamical description of the fermentation process was based on the General State-Space Dynamical model proposed by Bastin and Dochain (1990), as well as the adaptive control algorithm developed. For the definition of the kinetic structure of the model, as well as for the determination of the model parameters, a systematic approach based on the application of a stochastic optimisation method using Genetic Algorithms was proposed to approximate real and simulated data. The performance of the mentioned optimisation method was compared with another one, based on gradients, for the determination of an optimal feeding profile for the carbon source.



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