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Sufficient conditions for state observability in multi-substrate bioprocesses with additive growth dynamics
(Institute of Electrical and Electronics Engineers, 2014-07)
The distinguishability of the non-measured states is relevant for the design and implementation of state observers. The aim of this study is to examine the observability of a fed-batch multi-substrate process with additive ...
Bioprocessing in the Digital Age: The Role of Process Models
(Wiley-VCH Verlag, 2019-09)
In this age of technology, the vision of manufacturing industries built of smart factories is not a farfetched future. As a prerequisite for Industry 4.0, industrial sectors are moving towards digitalization and automation. ...
Use of uniform designs in combination with neural networks for viral infection process development
(2015)
This work aimed to compare the predictive capacity of empirical models, based on the uniform design utilization combined to artificial neural networks with respect to classical factorial designs in bioprocess, using as ...
Reaction rate reconstruction from biomass concentration measurement in bioreactors using modified second-order sliding mode algorithms
(Springer, 2012-11)
This paper deals with the estimation of unknown signals in bioreactors using sliding observers. Particular attention is drawn to estimate the specific growth rate of microorganisms frommeasurement of biomass concentration. ...