統計的手法を応用した発酵プロセスの計算機制御

概要

論文の詳細を見る
An algorithm for the optimal control of glutamic acid production in fed-batch culture was investigated using the combination of dynamic programming and a linear predictive procedure by regression analysis. Next, an on-line optimal control system was developed to control the fed-batch culture by modification of the proposed optimization algorithm, and the control system was experimentally ascertained to improve the operation of the fed-batch culture.The effect of the error resulting from linear prediction by regression analysis on the simulation and optimization of fed-batch culture was studied in the case of the penicillin production process.The prediction method was modified for application to processes including unmeasurable state variables. The use of time-series data and a statistical method for discrimination of variables was experimentally proved to be effective for prediction of a fed-batch culture of baker's yeast.
社団法人日本生物工学会の論文
1984-05-25