Yi Zheng
Distributed Model Predictive Control for Plant-Wide Systems
Ebook (PDF Format)
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-lif…
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Beschreibung
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.
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Produktdetails
Weitere Autoren: Li, Shaoyuan
- ISBN: 978-1-118-92158-6
- EAN: 9781118921586
- Produktnummer: 18682005
- Verlag: Wiley
- Sprache: Englisch
- Erscheinungsjahr: 2015
- Seitenangabe: 328 S.
- Plattform: PDF
- Masse: 9'206 KB
Über den Autor
Shaoyuan Li, Professor, Department of Automation, Shanghai Jiao Tong University, Shanghai, ChinaProfessor Li received his Ph.D in Computer and System Science from Nankai University in 1996. He has published five books and more than three hundred papers in journals/conferences, which describe his research accomplishments and interests in predictive control, distributed model predictive control, intelligent adaptive control, and fuzzy intelligent control and its application. He is a Senior Member of the IEEE. Yi Zheng, Assistant Professor, Shanghai Jiao Tong University, ChinaProfessor Zheng received his Ph.D in Control Theory and Engineering from Shanghai Jiao Tong University in 2011. He was with Shanghai Petrochemical Company, Ltd., Shanghai, from 2000 to 2003 and was with GE-global research (Shanghai) from 2010 to 2012. He currently works in the Department of Electrical Engineering, Shanghai Jiao Tong University. He is a member of the IEEE.
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