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- W2677107384 abstract "Abstract Five different methods including the extended Kalman filter (EKF) and some of its simplifications are applied and tested in on-line estimation of microbial biomass dry weight and its specific rate of change. The batch cultivations were performed in an aerated stirred tank fermentor. The main emphasisis in the feasibility of the methods for true real-time situations. Aeration data including rates of carbon dioxide evolution and oxygen consumption form a basis of estimation. Simple growth and observation models were applied. The EKF proved to be the best method. Good tracking and transient properties were obtained via careful filter tuning, when applied in the simulation of strictly aerobic growth. Model parameters were estimated off-line from several real cultivations by using simultaneously also the both measured rates with the aid of an implicit observation equation. The example system was a yeast lactase production process on lactose." @default.
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- W2677107384 date "1984-07-01" @default.
- W2677107384 modified "2023-09-27" @default.
- W2677107384 title "Real-Time Growth Estimation in Batch Fermentation" @default.
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- W2677107384 doi "https://doi.org/10.1016/s1474-6670(17)61240-0" @default.
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