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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.

Robust Dynamic Optimization and Control of

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    A Paperback by Ph.D. Puschke Dr Jennifer

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      View other formats and editions of Robust Dynamic Optimization and Control of by Ph.D. Puschke Dr Jennifer

      Publisher: Verlag G. Mainz
      Publication Date: Publication Date: 1/18/2019
      ISBN13: 9783958862722, 978-3958862722
      ISBN10: 3958862721

      Description

      Book Synopsis

      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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