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Batch to Batch Improving Control of Yeast Fermentation

机译:批量改善酵母发酵的控制

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摘要

An extended framework for modeling and control of nonlinear batch processes by means of simple linear models is proposed. The framework is extended to include a batch-to-batch dynamic description of initial conditions and their effect on batch evolution. In addition, the framework is extended with measurement noise. It is shown that based on desired model properties, regularization can be applied to obtain models applicable for control from sparse and noisy data. The potential of the proposed framework is demonstrated on simulated fed-batch yeast fermentations.
机译:提出了一种通过简单的线性模型建模和控制非线性批处理的建模和控制的扩展框架。该框架扩展到包括批量与批量动态描述的初始条件及其对批量演进的影响。此外,该框架延伸了测量噪声。示出了基于所需的模型属性,可以应用正则化以获得适用于稀疏和嘈杂数据的控制的模型。提出框架的潜力在模拟的补料批次酵母发酵上证明。

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