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Robust Process Control by Dynamic Stochastic Programming
Author(s) -
Steinbach Marc C.
Publication year - 2004
Publication title -
pamm
Language(s) - English
Resource type - Journals
ISSN - 1617-7061
DOI - 10.1002/pamm.200410003
Subject(s) - stochastic programming , dynamic programming , process (computing) , mathematical optimization , computer science , stochastic process , stochastic optimization , control (management) , stochastic control , optimal control , mathematics , statistics , artificial intelligence , operating system
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)