Existence and Global Exponential Stability of Periodic Solutions for General Neural Networks with Time-Varying Delays

Xinsong Yang

International Journal of Mathematics and Mathematical Sciences, 2008, vol. 2008, 1-14

Abstract:

By using the coincidence degree theorem and differential inequality techniques, sufficient conditions are obtained for the existence and global exponential stability of periodic solutions for general neural networks with time-varying (including bounded and unbounded) delays. Some known results are improved and some new results are obtained. An example is employed to illustrate our feasible results.

Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jijmms:843695

DOI: 10.1155/2008/843695

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