4.7 Article

Finite-time synchronization of delayed fuzzy cellular neural networks with discontinuous activations

期刊

FUZZY SETS AND SYSTEMS
卷 361, 期 -, 页码 56-70

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.fss.2018.04.017

关键词

Fuzzy cellular neural network; Discontinuous activation; Finite-time synchronization

资金

  1. National Natural Science Foundation of China [11701007, 11601007, 11771059]
  2. Natural Science Foundation of Anhui Province [1808085QA01]
  3. Key Program of University Natural Science Research Fund of Anhui Province [KJ2017A088]
  4. Key Program of Scientific Research Fund for Young Teachers of Anhui University of Science and Technology [QN201605]
  5. Anhui University of Science and Technology [11668]

向作者/读者索取更多资源

In this paper, we study the finite-time synchronization issue for delayed fuzzy cellular neural networks with discontinuous activations. Under the framework of differential inclusions, by utilizing the discontinuous state feedback control method and constructing Lyapunov functionals, new and useful finite-time synchronization criteria for the considered networks are established, which significantly generalize and improve recent works in literature. Finally, two examples with simulations are presented to show the effectiveness of the synchronization schemes. (C) 2018 Elsevier B.V. All rights reserved.

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