Stochastic Inequality Constrained
Closed-loop Model Predictive Control
With Application to Chemical Process Operation

By Dennis van Hessem
September 2004
Delft University Press
ISBN: 904072489X
208 pages, 6 ½" x 9 ½"
$79.50 Paper Original

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This is a Ph.D. dissertation. The chemical process industries are forced by the ever increasing global market competition to improve their efficiency of operation. Because of the large investment needed to build new plants it is of great interest to change the way existing plants are operated.

It is therefore desirable that a plant produces a wider variety of products or that it can be switched faster between different products or that it can be switched faster between different product specifications or operation modes. To meet the requirements of the market, research and development are a necessity to innovate products, production processes and operational strategies.

In almost all cases, plant and process models of varying complexity play an important role in analysis of technological problems and synthesis of solutions. Models formalize the current status of our system knowledge, point out weaknesses during validation, direct new research, are good carriers of knowledge over large time spans and they allow multi-disciplinary teamwork between engineers and scientists far beyond individual capabilities.

Chemical Engineering

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