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Global Exponential Stability of Periodic Solution for Neutral-Type Complex-Valued Neural Networks

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  • Song Guo
  • Bo Du

Abstract

This paper deals with a class of neutral-type complex-valued neural networks with delays. By means of Mawhin’s continuation theorem, some criteria on existence of periodic solutions are established for the neutral-type complex-valued neural networks. By constructing an appropriate Lyapunov-Krasovskii functional, some sufficient conditions are derived for the global exponential stability of periodic solutions to the neutral-type complex-valued neural networks. Finally, numerical examples are given to show the effectiveness and merits of the present results.

Suggested Citation

  • Song Guo & Bo Du, 2016. "Global Exponential Stability of Periodic Solution for Neutral-Type Complex-Valued Neural Networks," Discrete Dynamics in Nature and Society, Hindawi, vol. 2016, pages 1-10, September.
    • Handle: RePEc:hin:jnddns:1267954
    DOI: 10.1155/2016/1267954
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    References listed on IDEAS

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    1. Park, Ju H. & Kwon, O.M., 2009. "Global stability for neural networks of neutral-type with interval time-varying delays," Chaos, Solitons & Fractals, Elsevier, vol. 41(3), pages 1174-1181.
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    Cited by:

    1. JI, Conghuan & QIAO, Yuanhua & MIAO, Jun & DUAN, Lijuan, 2018. "Stability and Hopf bifurcation analysis of a complex-valued Wilson–Cowan neural network with time delay," Chaos, Solitons & Fractals, Elsevier, vol. 115(C), pages 45-61.

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