Cluster partitioning of heterogeneous multi-agent systems - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles Automatica Year : 2022

Cluster partitioning of heterogeneous multi-agent systems


This paper investigates the collective behaviors induced by the network interconnection of heterogeneous input-affine singleinput nonlinear systems through a constant but general directed graph. In this sense, we prove that the dynamics of all agents cluster into as many subgroups as the number of cells of the almost equitable partition induced by the communication graph. All agents belonging to the same cell are equally influenced by a new mean-field dynamics which is paradigmatic of the network. The case of a network of pendula illustrates the results through simulations.
Fichier principal
Vignette du fichier
NetNL_tmp.pdf (1.27 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03430078 , version 1 (16-11-2021)



Mattia Mattioni, Salvatore Monaco. Cluster partitioning of heterogeneous multi-agent systems. Automatica, 2022, 138, ⟨10.1016/j.automatica.2021.110136⟩. ⟨hal-03430078⟩


66 View
132 Download



Gmail Facebook X LinkedIn More