Systems Science & Control Engineering (Dec 2023)

Multiple-bipartite consensus for networked Lagrangian systems without using neighbours' velocity information in the directed graph

  • Tiehui Zhang,
  • Qiuxiang Liu,
  • Jingyi Liu,
  • Zhaoyan Wang,
  • Hengyu Li

DOI
https://doi.org/10.1080/21642583.2023.2210185
Journal volume & issue
Vol. 11, no. 1

Abstract

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This paper investigates the multiple-bipartite consensus problem without considering neighbours' velocity information in networked Lagrangian systems (NLSs). A distributed adaptive control algorithm without using neighbours' velocity information is proposed, which facilitates the practical configuration deployments in the coopetition networks. By borrowing a subtle vector composed of the eigenvector components associated with zero eigenvalue of Laplacian matrix, a novel reference estimated vector is introduced to conduct the stability analysis step-by-step in the coopetition networks. Finally, simulations are provided to show the effectiveness of the proposed algorithm.

Keywords