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Robust Dynamic Optimization Control by Jennifer Puschke (10 results)
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Robust Dynamic Optimization and Control of Semi-Batch Processes under Parametric Uncertainties
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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£ 37.14
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Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Robust Dynamic Optimization and Control of Semi-Batch Processes under Parametric Uncertainties
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£ 42.63
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Add to basketPaperback. Condition: New. 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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Robust Dynamic Optimization and Control of Semi-Batch Processes under Parametric Uncertainties (Aachener Verfahrenstechnik - AVT)
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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Condition: New. 2019. New. paperback. . . . . .
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Robust Dynamic Optimization and Control of Semi-Batch Processes under Parametric Uncertainties (Aachener Verfahrenstechnik Series - Process Systems Engineering)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 41.37
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Add to basketCondition: New. In English.
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Condition: New. 2019. New. paperback. . . . . . Books ship from the US and Ireland.
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Add to basketCondition: Brand New. 124 pages. German language. In Stock.
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Add to basketPaperback. Condition: New. 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.
