Global Exponential Stability of Antiperiodic Solution for Impulsive High-Order Hopfield Neural Networks

Wei Chen and Shuhua Gong

Abstract and Applied Analysis, 2014, vol. 2014, 1-11

Abstract:

This paper is concerned with antiperiodic solutions for impulsive high-order Hopfield neural networks with leakage delays and continuously distributed delays. By employing a novel proof, some sufficient criteria are established to ensure the existence and global exponential stability of the antiperiodic solution, which are new and complement of previously known results. Moreover, an example and numerical simulations are given to support the theoretical result.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlaaa:138379

DOI: 10.1155/2014/138379

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