4.7 Article

Finite-Time Bipartite Consensus For Multiagent Systems Under Detail-Balanced Antagonistic Interactions

Journal

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
Volume 51, Issue 6, Pages 3867-3875

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMC.2019.2938419

Keywords

Protocols; Network topology; Topology; Multi-agent systems; Robot sensing systems; Collective intelligence; Detail-balanced structure; finite-time bipartite consensus (FTBC); pinning control; signed graph

Funding

  1. National Natural Science Foundation of China [61973078, 61573102, 61833005]
  2. Natural Science Foundation of Jiangsu Province of China [BK20170019]
  3. Jiangsu Provincial Key Laboratory of Networked Collective Intelligence [BM2017002]

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The article focuses on the finite-time bipartite consensus problems of multiagent systems with antagonistic interactions and presents two FTBC protocols in a unified form. Theoretical results are provided to ensure that all agents reach agreement in finite time under the proposed protocols, with the effectiveness demonstrated through numerical examples.
Significant attention has been paid to the bipartite consensus (BC) problem of multiagent systems (MASs) with antagonistic interactions. In many practical applications, the convergence speed is very important. In this article, we focus on the finite-time BC (FTBC) problems of MASs with detail-balanced antagonistic interactions. First, two FTBC protocols are designed and expressed in a unified form. Then, by taking advantage of some recent findings on network stability, we obtain theoretical results to guarantee that the states of all agents reach agreement in finite time under our proposed protocols. Finally, the effectiveness and validity of the main theoretical results are demonstrated via two numerical examples.

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