文章基本信息

标题：Risk Averse Model Predictive Control of Bioreactors
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作者：Satyajeet Bhonsale ; Maurits Descamps ; Mihaela Iuliana Sbarciog 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2022
卷号：55
期号：7
页码：928-933
DOI：10.1016/j.ifacol.2022.07.563
语种：English
出版社：Elsevier
摘要：AbstractUncertainty is inherent in bioprocess modelling and control. Typically, uncertainties are handled using either the stochastic approach or the robust approach. Recently, the risk-averse approach, i.e., an interpolation between the stochastic and worst-case robust approach is gaining popularity. Risk-averse formulations are very useful in avoiding conservative solutions while still handling high-effect, low-probability events. In the bioreactor case considered in this paper, one such high effect low probability event is wash off caused by high feed rate or low inlet substrate concentration. A risk-averse, risk-constrained model predictive control formulation is proposed in this paper. The dynamic optimisation problem to be solved at every measurement instance is formulated using AV@R type risk objective. Similarly, probabilistic chance constraints are approximated by an AV@R-type risk constraints. The problem is then solved using the conic duality of the risk measure and an epigraphical decomposition of the nested multistage problem.
关键词：Keywordsuncertaintyrisk-averse optimisationmodel predictive controlbioreactor control