AIMS Mathematics (May 2021)

Synchronization criteria for neutral-type quaternion-valued neural networks with mixed delays

  • Shuang Li,
  • Xiao-mei Wang

DOI
https://doi.org/10.3934/math.2021467
Journal volume & issue
Vol. 6, no. 8
pp. 8044 – 8063

Abstract

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In this paper, the problem of synchronization for neutral-type quaternion-valued neural networks (NQVNNs) with mixed delays is investigated. By making full use of the information of the time-delay state, a linear feedback controller and a novel nonlinear feedback controller are constructed to research the global synchronization and finite-time synchronization of the system respectively. In the case where the activation function of the network is not required to be separated into two complex parts or four real parts, the sufficient conditions of synchronization of NQVNNs are acquired based on establishing appropriate Lyapunov-Krasovskii functional, applying the synchronization method of drive-response and some inequality techniques. The obtained delay-dependent synchronization results are less conservative than some existing ones via numerical example comparisons. Two numerical examples with simulations are provided to verify the effectiveness of the obtained results.

Keywords