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From Physics to Bioengineering: Microbial Cultivation Process Design and Feeding Rate Control Based on Relative Entropy Using Nuisance Time

机译：从物理学到生物工程：微生物栽培过程设计和馈线使用滋扰时间的相对熵

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摘要

For historic reasons, industrial knowledge of reproducibility and restrictions imposed by regulations, open-loop feeding control approaches dominate in industrial fed-batch cultivation processes. In this study, a generic gray box biomass modeling procedure uses relative entropy as a key to approach the posterior similarly to how prior distribution approaches the posterior distribution by the multivariate path of Lagrange multipliers, for which a description of a nuisance time is introduced. The ultimate purpose of this study was to develop a numerical semi-global convex optimization procedure that is dedicated to the calculation of feeding rate time profiles during the fed-batch cultivation processes. The proposed numerical semi-global convex optimization of relative entropy is neither restricted to the gray box model nor to the bioengineering application. From the bioengineering application perspective, the proposed bioprocess design technique has benefits for both the regular feed-forward control and the advanced adaptive control systems, in which the model for biomass growth prediction is compulsory. After identification of the gray box model parameters, the options and alternatives in controllable industrial biotechnological processes are described. The main aim of this work is to achieve high reproducibility, controllability, and desired process performance. Glucose concentration measurements, which were used for the development of the model, become unnecessary for the development of the desired microbial cultivation process.
机译：出于历史性原因，规定施加的再现性和限制的工业知识，开环饲养控制方法在工业喂养批量培养过程中占主导地位。在该研究中，仿制灰盒生物质建模程序使用相对熵作为接近后部接近后的键，与拉格朗日乘法器的多变量路径的后部分布如何，引入了滋扰时间的描述。本研究的最终目的是开发一种数值半全局凸优化程序，该过程专用于在美联储批量培养过程中计算喂养速率时间谱。所提出的数值半全局凸面优化相对熵既不限于灰色盒式模型，也不限于生物工程应用。从生物工程应用角度来看，所提出的生物过程设计技术对常规前馈控制和先进的自适应控制系统具有益处，其中生物质生成预测模型是强制性的。在识别灰色盒式模型参数之后，描述了可控工业生物技术过程中的选项和替代方案。这项工作的主要目的是实现高再现性，可控性和期望的过程性能。用于发展模型的葡萄糖浓度测量，对所需的微生物培养过程产生不必要。

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