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首页> 外文期刊>Neural processing letters >Passivity and Synchronization of Coupled Reaction-Diffusion Cohen-Grossberg Neural Networks with Fixed and Switching Topologies
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Passivity and Synchronization of Coupled Reaction-Diffusion Cohen-Grossberg Neural Networks with Fixed and Switching Topologies

机译:固定和切换拓扑耦合反应扩散COHEN-GROSSBERG神经网络的耦合性和同步

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摘要

This paper investigates the passivity and synchronization of coupled reaction-diffusion Cohen-Grossberg neural networks (CRDCGNNs) with constant and delayed couplings respectively. On the one side, a CRDCGNNs model with fixed topology is introduced, and several sufficient conditions which ensure passivity and synchronization for this type of network are derived respectively by exploiting some inequality techniques and constructing appropriate Lyapunov functional. On the other side, considering that topology structure of a network may change by switches in some cases, we also concern on the passivity and synchronization ofCRDCGNNswith switching topology. Finally, the correctness of the obtained passivity and synchronization criteria are corroborated by two illustrative examples.
机译:本文研究了耦合反应扩散Cohen-Grossberg神经网络(CRDCGNNS)分别具有恒定和延迟联轴器的被动性和同步。在一侧,引入了具有固定拓扑的CRDCGNNS模型,并且通过利用一些不等式技术和构建适当的Lyapunov功能,分别通过利用适当的Lyapunov功能来获得多种充分的条件。另一方面,考虑到在某些情况下,考虑到网络的拓扑结构可能会通过切换改变,我们还关注了频繁和同步的频繁和同步切换拓扑。最后,通过两个说明性实施例证实了所获得的被动性和同步标准的正确性。

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