Hybrid multisynchronization of coupled multistable memristive neural networks with time delays

被引:78
作者
Yao, Wei [1 ]
Wang, Chunhua [1 ]
Cao, Jinde [2 ]
Sun, Yichuang [3 ]
Zhou, Chao [1 ]
机构
[1] Hunan Univ, Coll Informat Sci & Engn, Changsha 410082, Hunan, Peoples R China
[2] Southeast Univ, Sch Math, Nanjing 210096, Jiangsu, Peoples R China
[3] Univ Hertfordshire, Sch Engn & Technol, Hatfield AL10 9AB, Herts, England
基金
中国国家自然科学基金;
关键词
Memristive neural networks; Controller; Multistability; Hybrid multisynchronization; External inputs; EXPONENTIAL SYNCHRONIZATION; STABILITY;
D O I
10.1016/j.neucom.2019.07.014
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:281 / 294
页数:14
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