Distributed Model Predictive Control Made Easy
Editors: Maestre, José M., Negenborn, Rudy R. (Eds.)
Free Preview- A systematic, practical, and accessible approach to distributed (and hierarchical) model predictive control (MPC)
- Provides step-by-step descriptions of computations/equations; theoretical results; and applications
- A consistent description of all approaches enables readers to assess the usefulness of these approaches for their respective applications
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- About this book
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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.
- Reviews
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From the reviews:
“This book presents a modern solution for the control and monitoring of complex structures using distributed control systems based on high-level communication protocols dedicated to control applications. … this book will be particularly interesting to readers in academia and research who wish to acquire a theoretical knowledge base and identify new areas of research. … practitioners may find it a useful handbook to assist in current projects.” (Eugen Petac, Computing Reviews, February, 2014)
- Table of contents (36 chapters)
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On 35 Approaches for Distributed MPC Made Easy
Pages 1-37
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Bargaining Game Based Distributed MPC
Pages 41-56
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Cooperative Tube-based Distributed MPC for Linear Uncertain Systems Coupled Via Constraints
Pages 57-72
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Price-driven Coordination for Distributed NMPC Using a Feedback Control Law
Pages 73-88
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Distributed MPC for Consensus and Synchronization
Pages 89-100
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Table of contents (36 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Distributed Model Predictive Control Made Easy
- Editors
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- José M. Maestre
- Rudy R. Negenborn
- Series Title
- Intelligent Systems, Control and Automation: Science and Engineering
- Series Volume
- 69
- Copyright
- 2014
- Publisher
- Springer Netherlands
- Copyright Holder
- Springer Science+Business Media Dordrecht
- eBook ISBN
- 978-94-007-7006-5
- DOI
- 10.1007/978-94-007-7006-5
- Hardcover ISBN
- 978-94-007-7005-8
- Softcover ISBN
- 978-94-024-0714-3
- Series ISSN
- 2213-8986
- Edition Number
- 1
- Number of Pages
- XVIII, 600
- Number of Illustrations
- 138 b/w illustrations
- Topics
