Hybrid multisynchronization of coupled multistable memristive neural networks with time delays

Wei Yao, Chunhua Wang, Jinde Cao, Yichuang Sun, Chao Zhou

Research output: Contribution to journalArticlepeer-review

41 Citations (Scopus)
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Abstract

In this paper, we focus on synchronization issue of coupled multistable memristive neural networks (CMMNNs) with time delay under multiple stable equilibrium states. First, we build delayed CMMNNs consisting of one master subnetwork without controller and N−1 identical slave subnetworks with controllers, and every subnetwork has n nodes. Moreover, this paper investigates multistability of delayed CMMNNs with continuous nonmonotonic piecewise linear activation function (PLAF) owning 2r+2 corner points. By using the theorems of differential inclusion and fixed point, sufficient conditions are derived such that master subnetwork of CMMNNs can acquire (r+2)n exponentially stable equilibrium points, stable periodic orbits or hybrid stable equilibrium states. Then, this paper proposes hybrid multisynchronization of delayed CMMNNs related with various external inputs under multiple stable equilibrium states for the first time. There exist (r+2)n hybrid multisynchronization manifolds in CMMNNs with different initial conditions and external inputs. Finally, two numerical simulations are given to illustrate the effectiveness of the obtained results.
Original languageEnglish
Pages (from-to)281-294
Number of pages14
JournalNeurocomputing
Volume363
Early online date19 Jul 2019
DOIs
Publication statusPublished - 21 Oct 2019

Keywords

  • Controller
  • External inputs
  • Hybrid multisynchronization
  • Memristive neural networks
  • Multistability

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