Journal
CHAOS
Volume 27, Issue 1, Pages -Publisher
AIP Publishing
DOI: 10.1063/1.4966177
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Funding
- National Natural Science Foundation of China [11371127, 61272153, 61402011, 61572035]
- Doctoral Fund of Anhui University of Science and Technology
- Key Program of Scientific Research Fund for Young Teachers of Anhui University of Science and Technology [QN201605]
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In this paper, we study the finite-time synchronization problem for recurrent neural networks with discontinuous activations and time-varying delays. Based on the finite-time convergence theory and by using the nonsmooth analysis technique, some finite-time synchronization criteria for the considered neural network model are established, which are new and complement some existing ones. The feasibility and effectiveness of the proposed synchronization method are supported by two examples with numerical simulations. Published by AIP Publishing.
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