Global Exponential Stability of Antiperiodic Solution for Impulsive High-Order Hopfield Neural Networks
Wei Chen, Shuhua Gong · Abstract and Applied Analysis · 2014
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.