Projective synchronization of fractional-order memristor-based neural networks.

Journal: Neural networks : the official journal of the International Neural Network Society
Published Date:

Abstract

This paper investigates the projective synchronization of fractional-order memristor-based neural networks. Sufficient conditions are derived in the sense of Caputo's fractional derivation and by combining a fractional-order differential inequality. Two numerical examples are given to show the effectiveness of the main results. The results in this paper extend and improve some previous works on the synchronization of fractional-order neural networks.

Authors

  • Hai-Bo Bao
    School of Mathematics and Statistics, Southwest University, Chongqing 400715, China. Electronic address: hbbao07@gmail.com.
  • Jin-De Cao
    Department of Mathematics, Southeast University, Nanjing 210096, China; Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia. Electronic address: jdcao@seu.edu.cn.