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Author:

Niu, B. (Niu, B..) | Sui, J. (Sui, J..) | Zhao, X. (Zhao, X..) | Wang, D. (Wang, D..) | Niu, Y. (Niu, Y..)

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EI Scopus SCIE

Abstract:

This paper focuses on the adaptive fuzzy practical predefined-time (PT) bipartite consensus tracking control (BCTC) problem for heterogeneous nonlinear multi-agent systems (HNMASs) with actuator faults. First, the fuzzy logic systems (FLSs) are used to approximate the unknown nonlinear functions. Then, the partial loss of effectiveness and bias fault of actuator are considered simultaneously in the HNMASs, which is effectively handled by using adaptive compensation technology. In addition, the developed bipartite consensus tracking control protocol based on a practical predefined-time strategy not only ensures the fast convergence of the studied systems, but also predetermines the convergence time not relied on the initial conditions. The theoretical result shows that all signals of the closed-loop system are semiglobally uniformly predefined-time bounded (SGUPTB), and the BCTC performance is guaranteed within the predefined time. Finally, the simulation example based on the agents of different orders shows the validity of the obtained results. IEEE

Keyword:

Actuators bipartite consensus tracking Fuzzy systems Multi-agent systems heterogeneous nonlinear multi-agent systems actuator faults Symmetric matrices Predefined-time control Convergence Fuzzy logic Nonlinear systems

Author Community:

  • [ 1 ] [Niu B.]School of Information Science and Engineering, Shandong Normal University, Jinan, Shandong, China
  • [ 2 ] [Sui J.]School of Information Science and Engineering, Shandong Normal University, Jinan, Shandong, China
  • [ 3 ] [Zhao X.]Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, Liaoning, China
  • [ 4 ] [Wang D.]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 5 ] [Zhao X.]School of Information Science and Engineering, Shandong Normal University, Jinan, Shandong, China
  • [ 6 ] [Niu Y.]School of Information Science and Engineering, Shandong Normal University, Jinan, Shandong, China

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Source :

IEEE Transactions on Fuzzy Systems

ISSN: 1063-6706

Year: 2024

Issue: 5

Volume: 32

Page: 1-12

1 1 . 9 0 0

JCR@2022

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 11

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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