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Passivity and Synchronization of Coupled Reaction-Diffusion Cohen-Grossberg Neural Networks with Fixed and Switching Topologies

机译:具有固定和切换拓扑的耦合反应扩散Cohen-Grossberg神经网络的无源性和同步

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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:本文研究了分别具有恒定和延迟耦合的耦合反应扩散Cohen-Grossberg神经网络(CRDCGNN)的无源性和同步性。一方面,介绍了具有固定拓扑的CRDCGNNs模型,并通过利用一些不等式技术并构造了适当的Lyapunov函数,分别导出了确保该类型网络的无源性和同步性的几个充分条件。另一方面,考虑到网络的拓扑结构在某些情况下可能会被交换机改变,因此,我们也关注具有切换拓扑的CRDCGNN的无源性和同步性。最后,通过两个示例性例子证实了所获得的无源性和同步标准的正确性。

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