2005
DOI: 10.1016/j.compchemeng.2004.11.011
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A feedforward–feedback substrate controller based on a Kalman filter for a fed-batch cultivation of Escherichia coli producing phytase

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Cited by 29 publications
(11 citation statements)
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“…Classical proportional or proportional-integral controllers cannot cope with the exponential nature of both process kinetics and disturbances and therefore, require dynamic parameter tuning or gain scheduling [2,4,5]. However, gain adaptation is inherently process specific and may lead to decreased robustness of the controller and its weak applicability to other organism strains or process conditions [18].…”
Section: Introductionmentioning
confidence: 99%
“…Classical proportional or proportional-integral controllers cannot cope with the exponential nature of both process kinetics and disturbances and therefore, require dynamic parameter tuning or gain scheduling [2,4,5]. However, gain adaptation is inherently process specific and may lead to decreased robustness of the controller and its weak applicability to other organism strains or process conditions [18].…”
Section: Introductionmentioning
confidence: 99%
“…Es wird versucht, durch kurze Probenwege at line schnelle Aussagen zu machen. So ist es möglich durch eine Fließ-injektions-Analyse (FIA) unter Verwendung eines Kalmanfilters, den Verbrauch an Substrat und damit die Zunahme der Biomasse zu berechnen [51].…”
Section: Indirekte Methodenunclassified
“…Indeed, as highlighted by Gnoth et al (2008): "feedback control only makes sense where the current value of the controlled variable can be determined accurately and fast enough to determine the deviation from the target set-point." The adaptability of the organisms makes the control task even more difficult as pointed out by Arndt et al (2005). However, Table 3 as well as Figs.…”
Section: Controlling the Specific Growth Rate In Bioprocessesmentioning
confidence: 96%