Distributed Model Predictive Control for Plant-Wide Systems - Hardcover

Li, Shaoyuan; Zheng, Yi

Hardcover

ISBN 10: 1118921569 ISBN 13: 9781118921562

Verlag: Wiley, 2015

Inhaltsangabe

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.

Über diesen Titel

Über die Autorin bzw. den Autor

SHAOYUAN LI Shanghai Jiao Tong University, China

YI ZHENG Shanghai Jiao Tong University, China

Von der hinteren Coverseite

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.

Aus dem Klappentext

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.

Details zur Ausgabe

• Verlag: Wiley
• Erscheinungsdatum: 2015
• Sprache: Englisch
• ISBN 10: 1118921569
• ISBN 13: 9781118921562
• Einband: Gebundene Ausgabe
• Auflage: 1
• Anzahl der Seiten: 328
• Kontakt zum Hersteller: Wiley-VCH GmbH; product_safety@wiley.com; ; Boschstrasse 12; Weinheim; 69469; Deutschland