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Preassigned-time bipartite synchronization of complex networks with quantized couplings and stochastic perturbations

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  • Liang, Tao
  • Yang, Degang
  • Lei, Li
  • Zhang, Wanli
  • Pan, Ju

Abstract

By using the preassigned-time (PAT) control method, this paper considers bipartite synchronization of complex networks (CNs) with quantized couplings and stochastic perturbations. According to the characteristics of CNs and bipartite synchronization, a new controller is designed. In the controller, some control parameters are switched with the information of the error system, and the linear feedback term is not considered. Based on the properties of the Weiner process, a PAT criterion is given to guarantee the stochastic bipartite synchronization of CNs with a different Lyapunov function. In order to compare, a fixed-time control is designed and a synchronization criterion is also established. Moreover, experimental results effectively demonstrate the correctness of the theoretical analysis.

Suggested Citation

  • Liang, Tao & Yang, Degang & Lei, Li & Zhang, Wanli & Pan, Ju, 2022. "Preassigned-time bipartite synchronization of complex networks with quantized couplings and stochastic perturbations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 202(C), pages 559-570.
    • Handle: RePEc:eee:matcom:v:202:y:2022:i:c:p:559-570
    DOI: 10.1016/j.matcom.2022.07.022
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    References listed on IDEAS

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    Cited by:

    1. Gao, Panqing & Ye, Renyu & Zhang, Hai & Stamova, Ivanka & Cao, Jinde, 2024. "Asymptotic stability and quantitative synchronization of fractional competitive neural networks with multiple restrictions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 217(C), pages 338-353.

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