Distributed Model Predictive Control Made Easy: 69 (Intelligent Systems, Control and Automation: Science and Engineering) - Tapa dura
Libro 29 de 56: Intelligent Systems, Control and Automation: Science and Engineering
Sinopsis
The rapid evolution of computer science, communication, and information technology has enabled the application of control techniques to systems beyond the possibilities of control theory just a decade ago. Critical infrastructures such as electricity, water, traffic and intermodal transport networks are now in the scope of control engineers. The sheer size of such large-scale systems requires the adoption of advanced distributed control approaches. Distributed model predictive control (MPC) is one of the promising control methodologies for control of such systems.
This book provides a state-of-the-art overview of distributed MPC approaches, while at the same time making clear directions of research that deserve more attention. The core and rationale of 35 approaches are carefully explained. Moreover, detailed step-by-step algorithmic descriptions of each approach are provided. These features make the book a comprehensive guide both for those seeking an introduction to distributed MPC as well as for those who want to gain a deeper insight in the wide range of distributed MPC techniques available.
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De la contraportada
The rapid evolution of computer science, communication, and information technology has enabled the application of control techniques to systems beyond the possibilities of control theory just a decade ago. Critical infrastructures such as electricity, water, traffic and intermodal transport networks are now in the scope of control engineers. The sheer size of such large-scale systems requires the adoption of advanced distributed control approaches. Distributed model predictive control (MPC) is one of the promising control methodologies for control of such systems.
This book provides a state-of-the-art overview of distributed MPC approaches, while at the same time making clear directions of research that deserve more attention. The core and rationale of 35 approaches are carefully explained. Moreover, detailed step-by-step algorithmic descriptions of each approach are provided. These features make the book a comprehensive guide both for those seeking an introduction to distributed MPC as well as for those who want to gain a deeper insight in the wide range of distributed MPC techniques available.
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Distributed Model Predictive Control Made Easy
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Springer, New York, 2014
ISBN 10: 9400770057
ISBN 13: 9789400770058
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Distributed Model Predictive Control Made Easy
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Springer, New York, 2014
ISBN 10: 9400770057
ISBN 13: 9789400770058
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Distributed Model Predictive Control Made Easy (eng)
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Distributed Model Predictive Control Made Easy (Intelligent Systems, Control and Automation: Science and Engineering, 69)
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Distributed Model Predictive Control Made Easy
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Springer Netherlands Nov 2013, 2013
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ISBN 13: 9789400770058
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The rapid evolution of computer science, communication, and information technology has enabled the application of control techniques to systems beyond the possibilities of control theory just a decade ago. Critical infrastructures such as electricity, water, traffic and intermodal transport networks are now in the scope of control engineers. The sheer size of such large-scale systems requires the adoption of advanced distributed control approaches. Distributed model predictive control (MPC) is one of the promising control methodologies for control of such systems.This book provides a state-of-the-art overview of distributed MPC approaches, while at the same time making clear directions of research that deserve more attention. The core and rationale of 35 approaches are carefully explained. Moreover, detailed step-by-step algorithmic descriptions of each approach are provided. These features make the book a comprehensive guide both for those seeking an introduction to distributed MPC as well as for those who want to gain a deeper insight in the wide range of distributed MPC techniques available. 620 pp. Englisch. Nº de ref. del artículo: 9789400770058
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Distributed Model Predictive Control Made Easy
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Distributed Model Predictive Control Made Easy
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Distributed Model Predictive Control Made Easy
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Springer, Springer Nov 2013, 2013
ISBN 10: 9400770057
ISBN 13: 9789400770058
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The rapid evolution of computer science, communication, and information technology has enabled the application of control techniques to systems beyond the possibilities of control theory just a decade ago. Critical infrastructures such as electricity, water, trafficand intermodal transport networks are now in the scope of control engineers. The sheer size of such large-scale systems requires the adoption of advanced distributed control approaches. Distributed model predictive control (MPC) is one of the promising control methodologies for control of such systems.This book provides a state-of-the-art overview of distributed MPC approaches, while at the same time making clear directions of research that deserve more attention. The core and rationale of 35 approaches are carefully explained. Moreover, detailed step-by-step algorithmic descriptions of each approach are provided. These features make the book a comprehensive guide both for those seeking an introduction to distributed MPC as well as for those who want to gain a deeper insight in the wide range of distributed MPC techniques available.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 620 pp. Englisch. Nº de ref. del artículo: 9789400770058
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Distributed Model Predictive Control Made Easy
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Distributed Model Predictive Control Made Easy
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Springer Netherlands, 2013
ISBN 10: 9400770057
ISBN 13: 9789400770058
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Librería: Buchpark, Trebbin, Alemania
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Condición: Sehr gut. Zustand: Sehr gut | Seiten: 620 | Sprache: Englisch | Produktart: Bücher | The rapid evolution of computer science, communication, and information technology has enabled the application of control techniques to systems beyond the possibilities of control theory just a decade ago. Critical infrastructures such as electricity, water, traffic and intermodal transport networks are now in the scope of control engineers. The sheer size of such large-scale systems requires the adoption of advanced distributed control approaches. Distributed model predictive control (MPC) is one of the promising control methodologies for control of such systems.This book provides a state-of-the-art overview of distributed MPC approaches, while at the same time making clear directions of research that deserve more attention. The core and rationale of 35 approaches are carefully explained. Moreover, detailed step-by-step algorithmic descriptions of each approach are provided. These features make the book a comprehensive guide both for those seeking an introduction to distributed MPC as well as for those who want to gain a deeper insight in the wide range of distributed MPC techniques available. Nº de ref. del artículo: 23749754/202
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