Page 15 - Distributed model predictive control for plant-wide systems

Preface xiii

the information of the whole system, and the networked distributed MPC with information
constraints, which is a tradeoff between the two methods mentioned above. For primary read-
ers, the major ideas and characteristics of distributed MPCs are clearly explained in a simple
way without constraints.
The third part focuses on introducing the design of the stabilizing distributed MPCs with
constraints for the three types of DMPCs: the local cost optimization based DMPC, the
cooperative DMPC, and the networked DMPC with information constraint, respectively.
The designed DMPCs can guarantee recursive feasibility and the asymptotic stability of the
closed-loop system if the initial feasible solution exists.
In the last part, three practical examples are given to illustrate how to implement the intro-
duced distributed MPC into industrial processes, they are the nonlinear networked DMPC for
accelerated cooling processes in heavy plate steel mills, the speed train control with uncon-
strained networked DMPC, and the hierarchical DMPC for load control of a high building with
multicooling resources.
In conclusion, this book tries to give a systematic overview of the latest distributed predictive
control technologies to readers. We hope this book can help engineers to design control systems
in their daily work or in their new projects. In addition, we believe that this book is fit for the
graduate students who are pursuing their master or doctor degree in control theory and control
engineering. We will be very pleased if this book is of use to you if you are interested in the
control of plant-wide systems or predictive control.

Shaoyuan Li
Yi Zheng