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Synchronization of Coupled Neural Networks With Reaction-Diffusion Terms and Switching Topology

机译:耦合神经网络与反应扩散术语和切换拓扑的同步

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This paper investigates the synchronization of linearly coupled reaction-diffusion neural networks (CRDNNs) with switching topology. By constructing appropriate Lyapunov functionals, several sufficient conditions are derived in the form of LMIs to guarantee synchronization of the proposed network models. Finally, a numerical example is given to demonstrate the correctness and effectiveness of the theoretical results.
机译:本文研究了线性耦合的反作用 - 扩散神经网络(CRDNNS)与切换拓扑的同步。通过构建适当的Lyapunov功能,以LMI的形式导出了几种充足的条件,以保证所提出的网络模型的同步。最后,给出了一个数字示例来证明理论结果的正确性和有效性。

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