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

Math Biosci Eng. 2023 Mar 30;20(6):10244-10263. doi: 10.3934/mbe.2023449.

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.

Keywords: discontinuous control; fixed-deviation dynamics; fractional-order complex-valued neural networks; time delays.

MeSH terms

  • Algorithms*
  • Computer Simulation
  • Neural Networks, Computer*