Experimental adaptive on-line optimization of cellular productivity of a continuous bakers' yeast culture.
An adaptive on-line optimization method that utilizes dynamic model identification has been applied to maximize the cellular productivity of a continuous bakers' yeast culture. Experiments were conducted on a sophisticated computerized fermentation system. Experimental results show that the adaptive on-line optimization method requires very little a priori information, is easy to implement, converges quickly, adapts to changes in the process, and is stable even when operational difficulties are encountered.
School of Chemical Engineering, Purdue University, West Lafayette, Indiana 47907.
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