<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>631</id>
    <completedYear/>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>reportzib</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2001-03-26</completedDate>
    <publishedDate>2001-03-26</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A Multistage Stochastic Programming Approach in Real-Time Process Control</title>
    <abstract language="eng">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.</abstract>
    <identifier type="serial">01-05</identifier>
    <identifier type="opus3-id">632</identifier>
    <identifier type="urn">urn:nbn:de:0297-zib-6317</identifier>
    <enrichment key="SourceTitle">Appeared in: Online Optimization of Large Scale Systems. M. Grötschel, S. O. Krumke, J. Rambau (eds.) Springer, 2001, pp. 479-498</enrichment>
    <author>Izaskun Garrido</author>
    <author>Marc Steinbach</author>
    <series>
      <title>ZIB-Report</title>
      <number>01-05</number>
    </series>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Process Control</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Real-Time Optimization</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Multistage Stochastic Programming</value>
    </subject>
    <collection role="ddc" number="000">Informatik, Informationswissenschaft, allgemeine Werke</collection>
    <collection role="msc" number="90C06">Large-scale problems</collection>
    <collection role="msc" number="90C15">Stochastic programming</collection>
    <collection role="institutes" number="">ZIB Allgemein</collection>
    <collection role="projects" number="StochProcCtrl">StochProcCtrl</collection>
    <file>https://opus4.kobv.de/opus4-zib/files/631/ZR-01-05.ps</file>
    <file>https://opus4.kobv.de/opus4-zib/files/631/ZR-01-05.pdf</file>
  </doc>
</export-example>
