Distributed Model Predictive Control Made Easy (Paperback, Softcover reprint of the original 1st ed. 2014)

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.

General

Imprint:	Springer
Country of origin:	Netherlands
Series:	Intelligent Systems, Control and Automation: Science and Engineering, 69
Release date:	September 2016
First published:	2014
Editors:	José M. Maestre • Rudy R. Negenborn
Dimensions:	235 x 155 x 32mm (L x W x T)
Format:	Paperback
Pages:	600
Edition:	Softcover reprint of the original 1st ed. 2014
ISBN-13:	978-9402407143
Categories:	Books > Reference & Interdisciplinary > General Books > Business & Economics > General Books > Computing & IT > General Books > Professional & Technical > Mechanical engineering & materials > Materials science > Mechanics of solids > Dynamics & vibration Promotions
LSN:	9402407146
Barcode:	9789402407143

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