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ISBN 10: 0071274103 ISBN 13: 9780071274104
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Language: English
Published by The McGraw-Hill Company, 2008
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Published by The McGraw-Hill Company, 2008
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Published by McGraw-Hill Eduction (Asia), 2008
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Paperback. Condition: Brand New. 2013 edition. 574 pages. 9.25x6.10x1.30 inches. In Stock.
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Published by Springer Berlin Heidelberg, 2013
ISBN 10: 3642371043 ISBN 13: 9783642371042
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the Second International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2012, held in Shanghai, China, in September 2012. The 60 full papers presented were carefully reviewed and selected from numerous submissions and present theories and methodologies as well as the emerging applications of intelligent computing in sustainable energy and environment.
Taschenbuch. Condition: Neu. Intelligent Computing for Sustainable Energy and Environment | Second International Conference, ICSEE 2012, Shanghai, China, September 12-13, 2012. Revised Selected Papers | Kang Li (u. a.) | Taschenbuch | xiv | Englisch | 2013 | Springer | EAN 9783642371042 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Published by John Wiley & Sons Inc, New York, 2015
ISBN 10: 1118921569 ISBN 13: 9781118921562
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Hardcover. Condition: new. Hardcover. DISTRIBUTED MODEL PREDICTIVE CONTROL FOR PLANT-WIDE SYSTEMS In this book, experienced researchers gave a thorough explanation of distributed model predictive control (DMPC): its basic concepts, technologies, and implementation in plant-wide systems. Known for its error tolerance, high flexibility, and good dynamic performance, DMPC is a popular topic in the control field and is widely applied in many industries. To efficiently design DMPC systems, readers will be introduced to several categories of coordinated DMPCs, which are suitable for different control requirements, such as network connectivity, error tolerance, performance of entire closed-loop systems, and calculation of speed. Various real-life industrial applications, theoretical results, and algorithms are provided to illustrate key concepts and methods, as well as to provide solutions to optimize the global performance of plant-wide systems. Features system partition methods, coordination strategies, performance analysis, and how to design stabilized DMPC under different coordination strategies.Presents useful theories and technologies that can be used in many different industrial fields, examples include metallurgical processes and high-speed transport.Reflects the authors extensive research in the area, providing a wealth of current and contextual information. Distributed Model Predictive Control for Plant-Wide Systems is an excellent resource for researchers in control theory for large-scale industrial processes. Advanced students of DMPC and control engineers will also find this as a comprehensive reference text. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Springer Nature Singapore, 2022
ISBN 10: 9811960836 ISBN 13: 9789811960833
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Add to basketCondition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book is inspired by the development of distributed model predictive control of networked systems to save computation and communication sources. The significant new contribution is to show how to design efficient DMPCs that can be coordinated asynchronously with the increasing effectiveness of the event-triggering mechanism and how to improve the event-triggered DMPC for different requirements improvement of control performance, extension to interconnected networked systems, etc. The book is likely to be of interest to the persons who are engaged in researching control theory in academic institutes, the persons who go in for developing control systems in R&D institutes or companies, the control engineers who are engaged in the implementation of control algorithms, and people who are interested in the distributed MPC.
Language: English
Published by John Wiley and Sons Inc, US, 2015
ISBN 10: 1118921569 ISBN 13: 9781118921562
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Hardback. Condition: New. DISTRIBUTED MODEL PREDICTIVE CONTROL FOR PLANT-WIDE SYSTEMS In this book, experienced researchers gave a thorough explanation of distributed model predictive control (DMPC): its basic concepts, technologies, and implementation in plant-wide systems. Known for its error tolerance, high flexibility, and good dynamic performance, DMPC is a popular topic in the control field and is widely applied in many industries. To efficiently design DMPC systems, readers will be introduced to several categories of coordinated DMPCs, which are suitable for different control requirements, such as network connectivity, error tolerance, performance of entire closed-loop systems, and calculation of speed. Various real-life industrial applications, theoretical results, and algorithms are provided to illustrate key concepts and methods, as well as to provide solutions to optimize the global performance of plant-wide systems. Features system partition methods, coordination strategies, performance analysis, and how to design stabilized DMPC under different coordination strategies.Presents useful theories and technologies that can be used in many different industrial fields, examples include metallurgical processes and high-speed transport.Reflects the authors' extensive research in the area, providing a wealth of current and contextual information. Distributed Model Predictive Control for Plant-Wide Systems is an excellent resource for researchers in control theory for large-scale industrial processes. Advanced students of DMPC and control engineers will also find this as a comprehensive reference text.