Electronic Research Archive (May 2024)

Synchronization analysis of delayed quaternion-valued memristor-based neural networks by a direct analytical approach

  • Jun Guo,
  • Yanchao Shi,
  • Shengye Wang

DOI
https://doi.org/10.3934/era.2024156
Journal volume & issue
Vol. 32, no. 5
pp. 3377 – 3395

Abstract

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This issue discusses the asymptotic synchronization and the exponential synchronization for memristor-based quaternion-valued neural networks under the time-varying delays. Some criteria for synchronization of the memristor-based quaternion-valued neural networks are given by exploiting the set-valued theory, the differential inclusion theory, some analytic techniques, as well as constructing novel controllers, It is worth noting that the synchronization problem about the memristor-based quaternion-valued neural networks were studied by the direct analysis method in this paper. Finally, the main theoretical results were verified by numerical simulations.

Keywords