Iterative learning estimation of a
parameterized input trajectory to control fedbatch fermentation
processes: A case study
C. Ben Youssef and A. Zepeda
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A novel type of iterative learning control (ILC) strategy for the optimization of fedbatch fermentation processes.
Application to lactic acid production as case study.
Improved control performances by using an ILC approach based on the parameterization of the feed flow rate profile.
Accurate process control with only two off-line measurements.
Possible application to other fedbatch fermentation processes where production is the goal.
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