通过迭代动态规划优化分批发酵罐。
Optimization of fed-batch fermentors by iterative dynamic programming.
机构信息
Department of Chemical Engineering, University of Toronto, Toronto, Ontario, Canada.
出版信息
Biotechnol Bioeng. 1993 Mar 5;41(5):599-602. doi: 10.1002/bit.260410513.
PMID:18609592
Abstract
By using penalty functions to handle state constraints, iterative dynamic programming can be used in a straightforward manner for the optimization of fed-batch fermentors. No computational difficulties were encountered and better results are obtained than previously reported in the literature for a fed-batch fermentor for biosynthesis of penicillin.
摘要
通过使用罚函数来处理状态约束，迭代动态规划可以直接用于批式发酵罐的优化。在批式发酵罐生物合成青霉素的情况下，没有遇到计算上的困难，并且得到了比文献中以前报道的更好的结果。
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