Globally Exponential Stability of Periodic Solutions to Impulsive Neural Networks with Time-Varying Delays

Yuanfu Shao, Changjin Xu and Qianhong Zhang

Abstract and Applied Analysis, 2012, vol. 2012, 1-14

Abstract:

By using Schaeffer's theorem and Lyapunov functional, sufficient conditions of the existence and globally exponential stability of positive periodic solution to an impulsive neural network with time-varying delays are established. Applications, examples, and numerical analysis are given to illustrate the effectiveness of the main results.

Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlaaa:358362

DOI: 10.1155/2012/358362

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