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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.

Robust Dynamic Optimization and Control of

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    A Paperback by Ph.D. Puschke Dr Jennifer

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      Book details

      Publisher Verlag G. Mainz
      Published 1/18/2019
      ISBN-13 9783958862722
      978-3958862722
      ISBN-10 3958862721
      Also in:
      Chemistry

      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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