Distributed Model Predictive Control for Plant-Wide Systems
Shaoyuan Li
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 ... Read more
- 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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