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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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楼主: 银河
发表于 2025-3-28 15:08:33 | 显示全部楼层
Distributed MPC Via Dual DecompositionThis allows coordination of all the subsystems without the need of sharing local dynamics, objectives and constraints. To illustrate this, an example is included where dual decomposition is used to resolve power grid congestion in a distributed manner among a number of players coupled by distribution grid constraints.
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Mixed-Integer Programming Techniques in Distributed MPC Problemsexploit geometric properties of hyperplane arrangements and adapt this description to the distributed scheme in order to provide an efficient Model Predictive Control (MPC) solution. Furthermore, we prove constraint validation for a hierarchical ordering of the agents.
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https://doi.org/10.1057/9780230252998udes with an extensive categorization of the techniques described in this book, and compact representations of the properties of each individual technique. As such, this chapter serves as a starting point for further developing understanding of the various particularities of the different techniques.
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https://doi.org/10.1057/9780230252998w to fulfill the global constraints that affect all NMPC controllers. To illustrate this approach, the price-driven coordination method is used to control a four-tank process in a distributed manner and is compared with centralized and fully decentralized approaches.
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The British Commonwealth and Empirea bundle method at the coordination layer that enables to enhance the performance and the real-time implementability of the proposed approach. The scheme performance is assessed using a real-life energy coordination problem in a building involving 20 zones that have to share a limited amount of total power.
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https://doi.org/10.1057/9780230270855s a distributed CG strategy for the supervision of a network of interconnected, possibly dynamically coupled, subsystems. Such an approach could be useful in situations where the use of a centralized coordination unit may be impracticable because requiring unrealistic or unavailable communication infrastructures.
发表于 2025-3-30 07:05:14 | 显示全部楼层
https://doi.org/10.1057/9780230270855 large-scale nonlinear systems. The theoretical results related to the application of the distributed MPC approach to both linear and nonlinear systems are outlined and some simulation results are provided.
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