Time Series Analysis of Fed-batch Fermentation Process for L-valine Production

Fed-batch fermentation processes are some of the most efficient and wildly applied types of cultivation for industrial production of most amino acids including L-valine. Time series analysis is an important tool for description of the experimental data. This article deals with statistical inference from the time series analysis of generalised stoichiometric equations as a hypothesis for modelling and optimisation. The aim of the article is to develop some time series models of generalized stoichiometric equations. The identification procedure includes the following steps: description of the process by generalized stoichiometric equations; preliminary data processing; model structure selection for each stoichiometric equation; estimation of the model's parameters; verification of the derived models.