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Adaptive passivity and synchronization of coupled reaction-diffusion neural networks with multiple state couplings or spatial diffusion couplings

机译:具有多个状态耦合或空间扩散耦合的耦合反应扩散神经网络的自适应无源性和同步

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In this paper, two types of coupled reaction-diffusion neural networks with multiple state couplings or spatial diffusion couplings are presented. By selecting appropriate adaptive control schemes and employing inequality techniques, several passivity conditions for these network models are given. In addition, two sufficient conditions for ensuring the synchronization of the proposed network models are also established by exploiting the output-strictly passivity. Finally, we give two numerical examples to verify the effectiveness of the derived criteria. (c) 2019 Elsevier B.V. All rights reserved.
机译:在本文中,提出了两种具有多状态耦合或空间扩散耦合的耦合反应扩散神经网络。通过选择适当的自适应控制方案并采用不等式技术,为这些网络模型提供了几种无源条件。另外,通过利用严格输出的被动性,还建立了两个确保所提出的网络模型同步的充分条件。最后,我们给出两个数值示例,以验证所导出标准的有效性。 (c)2019 Elsevier B.V.保留所有权利。

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