Distributed Model Predictive Control For Plant-Wide Systems

Authors Li and Zheng present readers with a comprehensive examination of distributed model predictive control (DMPC), it’s basic concepts, technologies, and implementation in plant-wide systems. The authors cover plant-wide systems, the foundation of model predictive control, the control structure of distributed MPC, structure models and system decomposition, unconstrained distributed predictive control, distributed MPC strategies based on Nash optimality, and a wide variety of other related subjects over the book’s thirteen chapters. Shaoyuan Li and Yi Zheng are faculty members of Shanghai Jiao Tong University, China. B Annotation c2016 Ringgold, Inc., Portland, OR (protoview.com)

Shaoyuan Li, Professor, Department of Automation, Shanghai Jiao Tong University, Shanghai, China
Professor 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, China
Professor 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.