Fixed-deviation stabilization and synchronization for delayed fractional-order complex-valued neural networks.

Journal: Mathematical biosciences and engineering : MBE
Published Date:

Abstract

In this paper, we study fixed-deviation stabilization and synchronization for fractional-order complex-valued neural networks with delays. By applying fractional calculus and fixed-deviation stability theory, sufficient conditions are given to ensure the fixed-deviation stabilization and synchronization for fractional-order complex-valued neural networks under the linear discontinuous controller. Finally, two simulation examples are presented to show the validity of theoretical results.

Authors

  • Bingrui Zhang
    School of Mathematics and Statistics, Hubei Normal University, Huangshi 435002, China.
  • Jin-E Zhang
    School of Mathematics and Statistics, Hubei Normal University, Huangshi 435002, China.