4.7 Article

Synchronization for impulsive hybrid-coupled reaction-diffusion neural networks with time-varying delays

Publisher

ELSEVIER
DOI: 10.1016/j.cnsns.2019.105031

Keywords

Coupled neural networks; Reaction-diffusion; Impulsive; Time-varying delay; Synchronization

Funding

  1. National Natural Science Foundation of China [61773004]
  2. Natural Science Foundation of Chongqing [cstc2019jcyj-msxmX0722]
  3. Program of Chongqing Innovation Team Project in University [CXTDX201601022]
  4. Science and Technology Research Program of Chongqing Municipal Education Commission [KJQN201800733]
  5. Innovation Project for Returned Overseas Scholars of Chongqing [CX2018115]
  6. Research Innovation Project for Postgraduate of Chongqing Jiaotong University [2019S01204]

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In this paper, the synchronization problem of impulsive hybrid-coupled reaction-diffusion neural networks with time-varying delays is investigated. By the formula for the variation of parameters and the comparison principle, several unified synchronization criteria are established. The proposed conditions are based on the inequalities involving the reaction-diffusion terms and the average impulsive interval, which are less conservative than related results in previous literature. The numerical example and simulations are provided to illustrate the effectiveness of proposed result. (C) 2019 Elsevier B.V. All rights reserved.

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