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Experimental adaptive on‐line optimization of cellular productivity of a continuous bakers' yeast culture
Author(s) -
Rolf Michael J.,
Lim Henry C.
Publication year - 1985
Publication title -
biotechnology and bioengineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.136
H-Index - 189
eISSN - 1097-0290
pISSN - 0006-3592
DOI - 10.1002/bit.260270820
Subject(s) - a priori and a posteriori , productivity , line (geometry) , bakers yeast , computer science , yeast , identification (biology) , biochemical engineering , engineering , biology , mathematics , saccharomyces cerevisiae , biochemistry , botany , philosophy , geometry , epistemology , economics , macroeconomics
Abstract 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.