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Titlebook: Distributed Model Predictive Control Made Easy; José M. Maestre,Rudy R. Negenborn Book 2014 Springer Science+Business Media Dordrecht 2014

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書目名稱Distributed Model Predictive Control Made Easy
編輯José M. Maestre,Rudy R. Negenborn
視頻videohttp://file.papertrans.cn/282/281924/281924.mp4
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
叢書名稱Intelligent Systems, Control and Automation: Science and Engineering
圖書封面Titlebook: Distributed Model Predictive Control Made Easy;  José M. Maestre,Rudy R. Negenborn Book 2014 Springer Science+Business Media Dordrecht 2014
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
關(guān)鍵詞Distributed, decentralized and hierarchical MPC; Model Predictive Control
版次1
doihttps://doi.org/10.1007/978-94-007-7006-5
isbn_softcover978-94-024-0714-3
isbn_ebook978-94-007-7006-5Series ISSN 2213-8986 Series E-ISSN 2213-8994
issn_series 2213-8986
copyrightSpringer Science+Business Media Dordrecht 2014
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Cooperative Tube-based Distributed MPC for Linear Uncertain Systems Coupled Via Constraintsent disturbances. Control agents make decisions locally and exchange plans; satisfaction of coupling constraints is ensured by permitting only non-coupled subsystems to update simultaneously. Robustness to disturbances is achieved by use of the tube MPC concept, in which a local control agent design
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Distributed MPC for Consensus and Synchronization common, cooperative control objective. The proposed DMPC algorithm cannot only be used for classical control objectives such as set point stabilization, but also for more general cooperative control tasks such as consensus and synchronization problems. Possible application fields include teams of m
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Distributed MPC Via Dual Decomposition and Alternative Direction Method of Multipliersr, at each time-step, it might not be feasible to wait for the dual algorithm to converge. As a result, the algorithm might be needed to be terminated prematurely. One is then interested to see if the solution at the point of termination is close to the optimal solution and when one should terminate
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