Synchronization in uncertain fractional-order memristive complex-valued neural networks with multiple time delays.

Journal: Neural networks : the official journal of the International Neural Network Society
Published Date: Dec 12, 2018

Abstract

This paper considers the global asymptotical synchronization of fractional-order memristive complex-valued neural networks (FOMCVNN), with both parameter uncertainties and multiple time delays. Sufficient conditions of uncertain FOMCVNN, with multiple time delays, are established through the employment of comparison principle and Lyapunov direct method. A numerical example is used to show the effectiveness of the proposed methods.

Authors

  • Weiwei Zhang
    Department of Laboratory Medicine, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
  • Hai Zhang
    a State Key Laboratory Breeding Base of Systematic Research Development and Utilization of Chinese Medicine Resources, Sichuan Province and Ministry of Science and Technology, College of Pharmacy and College of Ethnic Medicine , Chengdu University of Traditional Chinese Medicine , Chengdu , China.
  • Jinde Cao
  • Fuad E Alsaadi
    Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
  • Dingyuan Chen
    School of Mathematics and Computation Science, Anqing Normal University, Anqing 246133, China.

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