Adaptive Fuzzy Practical Bipartite Synchronization for Multiagent Systems With Intermittent Feedback Under Multiple Unknown Control Directions

Guilong Liu, Yongliang Yang, Xiaowei Zhao, Choon Ki Ahn

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

In this article, we propose an adaptive fuzzy control design for the distributed competitive control problem of multiagent systems (MASs) with multiple unknown control directions. The bipartite synchronization control is investigated by using the fuzzy backstepping control framework and fuzzy logic systems. To broaden the application field for the distributed protocol design, we consider practical bipartite synchronization for a group of MASs consisting of followers subject to heterogeneous unknown control directions. To address these multiple unknown control directions, a novel Nussbaum-type function is developed. Moreover, to reduce the communication bandwidth, this article proposes two threshold strategies for event-triggered control to avoid any unnecessary sampling while taking flexibility into consideration, further improving the efficiency and feasibility of the developed bipartite protocol design. The experimental results indicate that the proposed control method can effectively realize bipartite synchronization of MASs with multiple unknown control directions.

Original languageEnglish
Pages (from-to)3211-3225
Number of pages15
JournalIEEE Transactions on Fuzzy Systems
Volume32
Issue number5
DOIs
Publication statusPublished - 2024 May 1

Bibliographical note

Publisher Copyright:
© 1993-2012 IEEE.

Keywords

  • Bipartite synchronization control
  • event-triggered mechanism
  • fuzzy logic systems (FLSs)
  • multiple unknown control directions
  • Nussbaum-type functions

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Applied Mathematics

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