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Fixed-time synchronization of delayed memristor-based recurrent neural networks
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Fixed-time synchronization of delayed memristor-based recurrent neural networks
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Journal Article
Fixed-time synchronization of delayed memristor-based recurrent neural networks
2017
Overview
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.
Publisher
Science China Press,Springer Nature B.V
Subject
