The rapid evolution of computing, communication and information technology has allowed the application of control techniques to systems beyond the possibilities of control theory only a decade ago. Critical infrastructures such as electricity, water , traffic and intermodal transport networks are now within the reach of control engineers. The sheer size of these large-scale systems requires the adoption of advanced distributed control approaches. Predictive Distributed Model Control (MPC) is one of the promising control methodologies for controlling such systems.
This book provides a cutting-edge overview of distributed MPC approaches, while providing clear research directions that deserve more attention. The nucleus and reason for 35 approaches are explained explained. In addition, specific step-by-step algorithmic descriptions of each approach were specified. “These features make the book a comprehensive guide for both those seeking an introduction to Distributed MPC and those who want to gain a deeper insight into the wide range of Distributed MPC techniques available.