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Hybrid multisynchronization of coupled multistable memristive neural networks with time delays

机译:时滞耦合多稳态忆阻神经网络的混合多重同步

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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.
机译:在本文中,我们关注在多个稳定平衡状态下具有时滞的耦合多稳态忆阻神经网络(CMMNN)的同步问题。首先,我们建立了延迟的CMMNN,它由一个没有控制器的主子网和N-1个带有控制器的相同从属子网组成,每个子网都有n个节点。此外,本文研究了具有2r + 2个角点的连续非单调分段线性激活函数(PLAF)的延迟CMMNN的多重稳定性。通过使用微分包含和不动点定理,推导了足够的条件,使得CMMNNs的主子网可以获取(r + 2)(n)指数稳定的平衡点,稳定的周期轨道或混合稳定的平衡状态。然后,本文首次提出了在多个稳定平衡状态下,与各种外部输入相关的延迟CMMNN的混合多重同步。在具有不同初始条件和外部输入的CMMNN中,存在(r + 2)(n)个混合多同步流形。最后,通过两个数值模拟来说明所获得结果的有效性。 (C)2019 Elsevier B.V.保留所有权利。

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