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- W4244231446 abstract "The bioreactor mathematical models are employed to describe and predict the dynamics of its key state variables, such as metabolites, substrates, and biomass concentrations. These models are also used in the design, optimization, on-line monitoring, and control of bioprocesses. This chapter discusses observability analysis applied to 2D and 3D bioreactors with inhibitory and non-inhibitory models. It focuses on kinetic models of inhibition and observability criterion. For validated purposes, a Luenberger observer was implemented, with the initial conditions for the virtual plant and the observers to check the results of the observability analysis. Several output measurement combinations were proposed to show the dimensions of the corresponding observable subspaces employing the observability matrix criterion. The chemo-stat in 2D will always be observable with the only condition that the growth rate is non-zero. The chemostat in 3D is non-observable no matter whether the reactor is operated in batch or continuous." @default.
- W4244231446 created "2022-05-12" @default.
- W4244231446 date "2020-03-13" @default.
- W4244231446 modified "2023-10-16" @default.
- W4244231446 title "Observability Analysis Applied to <scp>2D</scp> and <scp>3D</scp> Bioreactors with Inhibitory and Non‐inhibitory Kinetics Models" @default.
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- W4244231446 doi "https://doi.org/10.1002/9781119296317.ch6" @default.
- W4244231446 hasPublicationYear "2020" @default.
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