Optimal operation and control of batch and semi-batch processes has an increasing importance in the chemical process industry. However, the solution of dynamic uncertainties in the process model might lead to a high risk of constraint violations. In order to solve the dynamic optimization problem under parametric uncertainty, four different approaches are investigated in this work. Thereafter, two of them are used in a multi-scenario eNMPC in order to robustly control batch processes under parametric uncertainties.

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Bibliographic Details

Title: Robust Dynamic Optimization and Control of Semi-Batch Processes under Parametric Uncertainties
Publisher: Verlag G. Mainz, DE
Publication Date: 2019
Language: English
ISBN 10: 3958862721
ISBN 13: 9783958862722
Binding: Paperback
Condition: New
Weight: 188 grams

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