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Published by The McGraw-Hill Company, 2008
ISBN 10: 0071274103 ISBN 13: 9780071274104
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Language: English
Published by The McGraw-Hill Company, 2008
ISBN 10: 0071274103 ISBN 13: 9780071274104
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Language: English
Published by The McGraw-Hill Company, 2008
ISBN 10: 0071274103 ISBN 13: 9780071274104
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Language: English
Published by McGraw-Hill Eduction (Asia), 2008
ISBN 10: 0071274103 ISBN 13: 9780071274104
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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.
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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.