4.6 Article

Adaptive bipartite output consensus of heterogeneous linear multi-agent systems with antagonistic interactions

Journal

NEUROCOMPUTING
Volume 373, Issue -, Pages 50-55

Publisher

ELSEVIER
DOI: 10.1016/j.neucom.2019.09.067

Keywords

Bipartite output consensus; Signed graphs; Heterogeneous multi-agent systems; Antagonistic interactions; Fully distributed protocol

Funding

  1. National Science Foundation of China [61773207]
  2. Fundamental Research Funds for the Central Universities [30918011207]

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This paper addresses the problem of bipartite output consensus of heterogeneous linear multi-agent systems with antagonistic interactions. The signed graph is directed and structurally balanced. With the assumption that only the leader can access the output of exosystem, two fully distributed adaptive protocols without using the state information of exosystem are designed based on the states and the observers of states, respectively. Numerical simulation demonstrates the effectiveness of the proposed approach. (C) 2019 Elsevier B.V. All rights reserved.

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