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How effective is the extended kalman filter for continuous yeast cultures affected by both inflow and measurement noise?.
The usefulness of the extended Kalman filter (EKF) as an on-line estimator of process variables is known for monotonic laboratory-scale fermentations. However, this has not been tested for oscillating cultures under non-ideal conditions representative of large bioreactors. So, in this study an EKF was applied for on-line filtering of simulated data of an oscillating continuous Saccharomyces cerevisiae culture with inflow and measurement noise. For better accuracy, the tuning of the EKF was updated over successive time slices such that deviations between the noise-affected and noise-free profiles were minimized during each interval. As shown by the concentrations of biomass and ethanol, noise disrupted periodicity in both, but oscillations close to the noise-free behaviour could be restored substantially by the EKF, thus suggesting its suitability for large non-ideal bioreactors with either monotonic or oscillating cultures.
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