Journal of Engineering Science and Technology Review (Nov 2014)

Adaptive Synchronization of Memristor-based Chaotic Neural Systems

  • Xiaofang Hu,
  • Shukai Duan

Journal volume & issue
Vol. 8, no. 2
pp. 17 – 23

Abstract

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Chaotic neural networks consisting of a great number of chaotic neurons are able to reproduce the rich dynamics observed in biological nervous systems. In recent years, the memristor has attracted much interest in the efficient implementation of artificial synapses and neurons. This work addresses adaptive synchronization of a class of memristor-based neural chaotic systems using a novel adaptive backstepping approach. A systematic design procedure is presented. Simulation results have demonstrated the effectiveness of the proposed adaptive synchronization method and its potential in practical application of memristive chaotic oscillators in secure communication.

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