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Adaptive anti-synchronization and H-infinity anti-synchronization for rnemristive neural networks with mixed time delays and reaction-diffusion terms

机译:具有混合时滞和反应扩散项的弹性神经网络的自适应反同步和H无限反同步

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This paper firstly treats of the anti-synchronization of a class of memristor-based neural networks with mixed time delays and reaction-diffusion terms. An adaptive controller is designed such that the response system can be synchronized with the drive system by utilizing Lyapunov stability theory. Furthermore, the synchronization criteria derived in this paper are associated with the time switching. In addition, the H-infinity anti-synchronization of memristive neural networks has been studied as well. Therefore, the results obtained in this paper are more general and extend the previous work. Finally, two numerical examples and their simulations are given to show the effectiveness of the obtained results. (C) 2015 Elsevier B.V. All. rights reserved.
机译:本文首先研究一类具有混合时滞和反应扩散项的忆阻器神经网络的反同步性。设计了一种自适应控制器,从而可以利用Lyapunov稳定性理论使响应系统与驱动系统同步。此外,本文得出的同步标准与时间切换相关。此外,还研究了忆阻神经网络的H无限反同步。因此,本文获得的结果更为通用,并扩展了先前的工作。最后,给出了两个数值例子,并通过仿真得到了结果的有效性。 (C)2015 Elsevier B.V. All。版权所有。

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