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Robust Dynamic Optimization and Control of Semi-Batch Processes under Parametric Uncertainties (Aachener Verfahrenstechnik Series – Process Systems Engineering) - Tapa blanda
Sinopsis
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
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Robust Dynamic Optimization and Control of Semi-Batch Processes under Parametric Uncertainties (Paperback)
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Paperback. Condición: new. Paperback. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9783958862722
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Robust Dynamic Optimization and Control of Semi-Batch Processes under Parametric Uncertainties (Paperback)
Librería: AussieBookSeller, Truganina, VIC, Australia
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9783958862722
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