论文信息 - An algorithmic approach to constructing the on‐line estimation system for the specific growth rate

An algorithmic approach to constructing the on‐line estimation system for the specific growth rate

The objective of this article is to propose an algorithm for the on‐line estimation of the specific growth rate in a batch or a fed‐batch fermentation process. The algorithm shows the practical procedure for the estimation method utilizing the macroscopic balance and the extended Kalman filter. A number of studies of the on line estimation have been presented. However, there are few studies discussing about the selection of the observed variables and for the tuning of some parameters of the extended Kalman filter, such as covariance matrix and initial values of the state.

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