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DOI: 10.4121/90ada13d-a6c9-4e4c-a046-2b984595bcdd

Riccardi, Alessandro; Laurenti, Luca; De Schutter, Bart (2024): Code underlying the publication: A Generalized Partitioning Strategy for Distributed Control. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/90ada13d-a6c9-4e4c-a046-2b984595bcdd.v1

Categories

• Artificial Intelligence and Image Processing
• Electrical and Electronic Engineering
• Data Format
• Other Engineering
• Computer Software
• Distributed Computing
• Information Systems
• Interdisciplinary Engineering
• Engineering
• Information and Computing Sciences

Keywords

alternating direction method of multipliers distributed model predictive control multiagent systems partitioning

Licence

MIT

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by Alessandro Riccardi , Luca Laurenti , Bart De Schutter

The partitioning problem is a key problem for distributed control techniques. The problem consists in the definition of the subnetworks of a dynamical system that can be considered as individual control agents in the distributed control approach. Despite its relevance and the different approaches proposed in the literature, no generalized technique to perform the partitioning of a network of dynamical systems is present yet. In this article, we introduce a general approach to partitioning for distributed control. This approach is composed by an algorithmic part selecting elementary subnetworks, and by an integer program, which aggregates the elementary components according to a global index. We empirically evaluated our approach on a distributed predictive control problem in the context of power systems, obtaining promising performances in terms of reduction of computation speed and resource cost, while retaining a good level of performance.

History

• 2024-12-17 first online, published, posted

Publisher

4TU.ResearchData

References

• https://doi.org/10.4121/d2c0d075-1c49-41af-8113-5e50c27ca97e

Funding

• CLariNet (grant code 101018826) [more info...] European Research Council

Organizations

TU Delft, Faculty of Mechanical Engineering, Delft Center for Systems and Control