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Cluster partitioning of heterogeneous multi-agent systems

Abstract : 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.
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https://hal.inria.fr/hal-03430078
Contributor : Mattia Mattioni Connect in order to contact the contributor
Submitted on : Tuesday, November 16, 2021 - 9:21:30 AM
Last modification on : Friday, November 25, 2022 - 7:04:09 PM
Long-term archiving on: : Thursday, February 17, 2022 - 6:13:02 PM

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

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