| 书目名称 | Distributed Model Predictive Control Made Easy |
| 编辑 | José M. Maestre,Rudy R. Negenborn |
| 视频video | |
| 概述 | 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 |
| 丛书名称 | Intelligent Systems, Control and Automation: Science and Engineering |
| 图书封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2014 |
| 关键词 | Distributed, decentralized and hierarchical MPC; Model Predictive Control |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-94-007-7006-5 |
| isbn_softcover | 978-94-024-0714-3 |
| isbn_ebook | 978-94-007-7006-5Series ISSN 2213-8986 Series E-ISSN 2213-8994 |
| issn_series | 2213-8986 |
| copyright | Springer Science+Business Media Dordrecht 2014 |
发表于 2025-3-21 17:36:22
