Distributed Model Predictive Control for Plant-Wide Systems (ePub)
(Sprache: Englisch)
DISTRIBUTED MODEL PREDICTIVE CONTROL FOR PLANT-WIDE SYSTEMS
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...
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...
sofort als Download lieferbar
eBook (ePub)
Fr. 120.00
inkl. MwSt.
- Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Distributed Model Predictive Control for Plant-Wide Systems (ePub)“
DISTRIBUTED MODEL PREDICTIVE CONTROL FOR PLANT-WIDE SYSTEMS
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.
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.
Autoren-Porträt von Shaoyuan Li, Yi Zheng
SHAOYUAN LI Shanghai Jiao Tong University, ChinaYI ZHENG Shanghai Jiao Tong University, China
Bibliographische Angaben
- Autoren: Shaoyuan Li , Yi Zheng
- 2017, 328 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1118921593
- ISBN-13: 9781118921593
- Erscheinungsdatum: 02.05.2017
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Grösse: 27 MB
- Mit Kopierschutz
Sprache:
Englisch
Kopierschutz
Dieses eBook können Sie uneingeschränkt auf allen Geräten der tolino Familie lesen. Zum Lesen auf sonstigen eReadern und am PC benötigen Sie eine Adobe ID.
Kommentar zu "Distributed Model Predictive Control for Plant-Wide Systems"
0 Gebrauchte Artikel zu „Distributed Model Predictive Control for Plant-Wide Systems“
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "Distributed Model Predictive Control for Plant-Wide Systems".
Kommentar verfassen