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Robust Process Control by Dynamic Stochastic Programming

  1. Marc C. Steinbach*

Article first published online: 5 NOV 2004

DOI: 10.1002/pamm.200410003

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PAMM

PAMM

Volume 4, Issue 1, pages 11–14, December 2004

Additional Information

How to Cite

Steinbach, M. C. (2004), Robust Process Control by Dynamic Stochastic Programming. Proc. Appl. Math. Mech., 4: 11–14. doi: 10.1002/pamm.200410003

Author Information

  1. Konrad-Zuse-Zentrum für Informationstechnik Berlin (ZIB), Takustr. 7, 14195 Berlin-Dahlem, Germany

*Phone: +493084185-227, Fax: +493084185-269

Publication History

  1. Issue published online: 5 NOV 2004
  2. Article first published online: 5 NOV 2004

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Abstract

Unnecessarily conservative behavior of standard process control techniques can be avoided by stochastic programming models when the distribution of random disturbances is known. In an earlier study we have investigated such an approach for tank level constraints of a distillation process. Here we address techniques that have accelerated the numerical solution of the large and expensive stochastic programs by a factor of six, and then present a refined optimization model for the same application. (© 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)

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