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Iterative learning consensus control for switched discrete-time multi-agent systems based on the 2-D linear discrete model

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  • Song Yang
  • Xiao-Dong Li

Abstract

In this article, a class of switched nonlinear discrete-time heterogeneous (NDTH) multi-agent systems (MASs) with switching signals in both agent dynamics and communication topologies are considered, and a distributed iterative learning control (ILC) law is proposed for the output consensus of the switched NDTH MAS so that the outputs of all follower agents can well track the leader agent. With the proposed ILC controller, the iterative learning dynamic process of the switched NDTH MAS is firstly formulated as a two-dimensional (2-D) linear discrete Roesser model with specified boundary states at each switching sub-interval. Afterwards, according to the exploited properties on solution of the 2-D linear discrete Roesser model, a sufficient convergence theorem for the presented ILC controller is derived. At last, the validity of the ILC-based consensus controller is illustrated through a simulation experiment.

Suggested Citation

  • Song Yang & Xiao-Dong Li, 2025. "Iterative learning consensus control for switched discrete-time multi-agent systems based on the 2-D linear discrete model," International Journal of Systems Science, Taylor & Francis Journals, vol. 56(10), pages 2231-2245, July.
    • Handle: RePEc:taf:tsysxx:v:56:y:2025:i:10:p:2231-2245
    DOI: 10.1080/00207721.2024.2441456
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