Abstract
This paper presents the application of a second order sliding mode observer based on the classic super twisting algorithm in order to estimate the specific growth rate in a model of fed-batch bioprocess. This observer estimates the specific growth rate without assuming a specific model (such as Monod or Haldane), using the biomass concentration measurement. The observer allows the fixed time estimation of the specific growth rate, and provides robustness against uncertainty and parametric changes.
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Salazar, M.C., Botero, H. (2016). Specific Growth Rate Estimation in Fed-Batch Bioreactor Using Super Twisting Sliding Mode Observer. In: Figueroa-García, J., López-Santana, E., Ferro-Escobar, R. (eds) Applied Computer Sciences in Engineering. WEA 2016. Communications in Computer and Information Science, vol 657. Springer, Cham. https://doi.org/10.1007/978-3-319-50880-1_35
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DOI: https://doi.org/10.1007/978-3-319-50880-1_35
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