A Multistage Stochastic Programming Approach in Real-Time Process Control

Izaskun Garrido and Marc C. Steinbach
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Izaskun Garrido: Konrad-Zuse-Zentrum für Informationstechnik Berlin (ZIB)
Marc C. Steinbach: Konrad-Zuse-Zentrum für Informationstechnik Berlin (ZIB)

A chapter in Online Optimization of Large Scale Systems, 2001, pp 479-498 from Springer

Abstract: Abstract Standard model predictive control for real-time operation of industrial production processes may be inefficient in the presence of substantial uncertainties. To avoid overly conservative disturbance corrections while ensuring safe operation, random influences should be taken into account explicitly. We propose a multistage stochastic programming approach within the model predictive control framework and apply it to a distillation process with a feed tank buffering external sources. A preliminary comparison to a probabilistic constraints approach is given and first computational results for the distillation process are presented.

Keywords: Tracking Error; Stochastic Program; Model Predictive Control; Distillation Column; Inflow Rate (search for similar items in EconPapers)
Date: 2001
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-662-04331-8_25

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DOI: 10.1007/978-3-662-04331-8_25

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