Fixed-time synchronization of delayed memristor-based recurrent neural networks

Springer Science and Business Media LLC - Tập 60 - Trang 1-15 - 2017
Jinde Cao1, Ruoxia Li1
1School of Mathematics, and Research Center for Complex Systems and Network Sciences, Southeast University, Nanjing, China

Tóm tắt

This paper focuses on the fixed-time synchronization control methodology for a class of delayed memristor-based recurrent neural networks. Based on Lyapunov functionals, analytical techniques, and together with novel control algorithms, sufficient conditions are established to achieve fixed-time synchronization of the master and slave memristive systems. Moreover, the settling time of fixed-time synchronization is estimated, which can be adjusted to desired values regardless of the initial conditions. Finally, the corresponding simulation results are included to show the effectiveness of the proposed methodology derived in this paper.

Tài liệu tham khảo

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