Fully Distributed Adaptive Fuzzy Consensus for Heterogeneous Switched Nonlinear Multiagent Systems Under State-Dependent Switchings

Ronghao Zhang, Shi Li, Choon Ki Ahn, Mohammed Chadli

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

This article presents a discussion on the adaptive fuzzy fully distributed consensus problem of heterogeneous switched nonlinear multiagent systems (SNMASs). The considered agents contain both first- and second-order dynamics. Fuzzy logic systems are introduced to approximate the unknown nonlinear terms of the SNMASs. Influenced by the systems' own factors or the external environment, the subsystems of agents may be unstabilizable and existing control strategies may not be able to ensure the stability of the systems. Therefore, it is necessary to provide a new consensus protocol to address this problem. In this article, a fully distributed consensus protocol is provided that includes an auxiliary system and a series of state-dependent switching laws. To ensure the stability of whole SNMASs and realize the consensus objective, convex combination technology and the single Lyapunov function method are adopted. Finally, the effectiveness of the proposed scheme is verified through simulation results.

Original languageEnglish
Pages (from-to)607-620
Number of pages14
JournalIEEE Transactions on Fuzzy Systems
Volume32
Issue number2
DOIs
Publication statusPublished - 2024 Feb 1

Bibliographical note

Publisher Copyright:
© 1993-2012 IEEE.

Keywords

  • Adaptive fuzzy control
  • fuzzy logic systems (FLSs)
  • heterogeneous multiagent systems (MASs)
  • state feedback
  • switched nonlinear systems

ASJC Scopus subject areas

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

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