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Synopsis
The current state-of-art dynamic process optimization is to decompose the optimization into the so-called two-layered structure, including real time optimization (RTO) and advanced control. Due to model discrepancy and inconsistent time scales in different layers, this structure may render suboptimal solutions. Therefore, the dynamic real time optimization (D-RTO) or economically-oriented nonlinear model predictive control (NMPC) that directly optimizes the economic performance based on first-principle dynamic models of processes has become an emerging technology. This book addresses the computational issues associated with solving the large scale optimization problems. Moreover economic benefits of the proposed D-RTO are illustrated. Finally theoretical issues such as stability of the proposed method is analyzed.
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- PublisherLAP Lambert Academic Publishing
- Publication date2015
- ISBN 10 3659671363
- ISBN 13 9783659671364
- BindingPaperback
- LanguageEnglish
- Number of pages176
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Dynamic Real Time Optimization for Large Scale Processes
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LAP LAMBERT Academic Publishing Jan 2015, 2015
ISBN 10: 3659671363
ISBN 13: 9783659671364
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The current state-of-art dynamic process optimization is to decompose the optimization into the so-called two-layered structure, including real time optimization (RTO) and advanced control. Due to model discrepancy and inconsistent time scales in different layers, this structure may render suboptimal solutions. Therefore, the dynamic real time optimization (D-RTO) or economically-oriented nonlinear model predictive control (NMPC) that directly optimizes the economic performance based on first-principle dynamic models of processes has become an emerging technology. This book addresses the computational issues associated with solving the large scale optimization problems. Moreover economic benefits of the proposed D-RTO are illustrated. Finally theoretical issues such as stability of the proposed method is analyzed. 176 pp. Englisch. Seller Inventory # 9783659671364
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Dynamic Real Time Optimization for Large Scale Processes
Published by
LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659671363
ISBN 13: 9783659671364
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The current state-of-art dynamic process optimization is to decompose the optimization into the so-called two-layered structure, including real time optimization (RTO) and advanced control. Due to model discrepancy and inconsistent time scales in different layers, this structure may render suboptimal solutions. Therefore, the dynamic real time optimization (D-RTO) or economically-oriented nonlinear model predictive control (NMPC) that directly optimizes the economic performance based on first-principle dynamic models of processes has become an emerging technology. This book addresses the computational issues associated with solving the large scale optimization problems. Moreover economic benefits of the proposed D-RTO are illustrated. Finally theoretical issues such as stability of the proposed method is analyzed. Seller Inventory # 9783659671364
Quantity: 1 available
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Dynamic Real Time Optimization for Large Scale Processes
Published by
LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659671363
ISBN 13: 9783659671364
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Huang RuiDr Huang achieved PhD in Chemical Engineering Department at Carnegie Mellon University in 201. Since then Dr. Huang has been a senior research scientist in the United Technologies Research Center. He is an adjunct faculty in. Seller Inventory # 159143529
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Dynamic Real Time Optimization for Large Scale Processes
Published by
LAP Lambert Academic Publishing, 2015
ISBN 10: 3659671363
ISBN 13: 9783659671364
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