Distributed Model Predictive Control Made Easy

Maestre, José M. (Editor)/ Negenborn, Rudy R. (Editor)

ISBN 10: 9402407146 / ISBN 13: 9789402407143

Published by Springer Verlag, 2016

About this Item

reprint edition. 620 pages. 9.25x6.10x1.46 inches. In Stock.

Seller Inventory # x-9402407146

Bibliographic Details

• Title: Distributed Model Predictive Control Made Easy
• Publisher: Springer Verlag
• Publication Date: 2016
• Language: English
• ISBN 10: 9402407146
• ISBN 13: 9789402407143
• Binding: Paperback
• Condition: Brand New
• Weight: 0.92 kilograms

About this title

Synopsis

The rapid evolution of computer science, communication, and information technology has enabled the application of control techniques to systems beyond the possibilities of control theory just a decade ago. Critical infrastructures such as electricity, water, traffic and intermodal transport networks are now in the scope of control engineers. The sheer size of such large-scale systems requires the adoption of advanced distributed control approaches. Distributed model predictive control (MPC) is one of the promising control methodologies for control of such systems.

This book provides a state-of-the-art overview of distributed MPC approaches, while at the same time making clear directions of research that deserve more attention. The core and rationale of 35 approaches are carefully explained. Moreover, detailed step-by-step algorithmic descriptions of each approach are provided. These features make the book a comprehensive guide both for those seeking an introduction to distributed MPC as well as for those who want to gain a deeper insight in the wide range of distributed MPC techniques available.