4.6 Article

Anti-synchronization for complex-valued neural networks with leakage delay and time-varying delays

Journal

NEUROCOMPUTING
Volume 412, Issue -, Pages 312-319

Publisher

ELSEVIER
DOI: 10.1016/j.neucom.2020.06.080

Keywords

Anti-synchronization; CVNNs; Leakage delay; Time-varying delays

Funding

  1. National Natural Science Foundation of China [61503222, 61803220]
  2. Research Fund for the Taishan Scholar Project of Shandong Province of China
  3. Science and Technology Support Plan for Youth Innovation of Colleges and Universities of Shandong Province of China [2019KJI005, 2019KJN024]
  4. SDUST Research Fund

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This paper discusses the anti-synchronization control of complex-valued neural networks(CVNNs) with leakage delay and time-varying delays. Based on different types of activation functions meeting different assumption conditions, via some inequalities techniques and the Lyapunov approach, some sufficient conditions are acquired of the anti-synchronization of CVNNs by choosing the suitable controllers. Finally, two examples are presented to validate the effectiveness of the obtained criteria. (c) 2020 Elsevier B.V. All rights reserved.

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