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

Song Guo and Bo Du

Discrete Dynamics in Nature and Society, 2016, vol. 2016, 1-10

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.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnddns:1267954

DOI: 10.1155/2016/1267954

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