TY - JOUR
T1 - Hybrid multisynchronization of coupled multistable memristive neural networks with time delays
AU - Yao, Wei
AU - Wang, Chunhua
AU - Cao, Jinde
AU - Sun, Yichuang
AU - Zhou, Chao
PY - 2019/10/21
Y1 - 2019/10/21
N2 - 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.
AB - 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.
KW - Controller
KW - External inputs
KW - Hybrid multisynchronization
KW - Memristive neural networks
KW - Multistability
UR - http://www.scopus.com/inward/record.url?scp=85069663934&partnerID=8YFLogxK
U2 - 10.1016/j.neucom.2019.07.014
DO - 10.1016/j.neucom.2019.07.014
M3 - Article
AN - SCOPUS:85069663934
SN - 0925-2312
VL - 363
SP - 281
EP - 294
JO - Neurocomputing
JF - Neurocomputing
ER -