**Reference:**

A. Riccardi,
L. Laurenti, and
B. De Schutter,
"A generalized partitioning strategy for distributed control,"
*Proceedings of the 63rd IEEE Conference on Decision and
Control*, Milan, Italy, Dec. 2024.

**Abstract:**

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.

**Bibtex entry**:

author={A. Riccardi and L. Laurenti and B. {D}e Schutter},

title={A generalized partitioning strategy for distributed control},

booktitle={Proceedings of the 63rd IEEE Conference on Decision and Control},

address={Milan, Italy},

month=dec,

year={2024}

}

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