重庆理工大学学报（自然科学版）Issue(3)：134-140,7.DOI:10.3969/j.issn.1674-8425(z).2015.03.025
具有分布时滞脉冲 Cohen-Grossberg神经网络的稳定性分析
Exponential Stability for Impulsive Cohen-Grossberg Neural Network with Infinite Distributed Delays
摘要
Abstract
This paper discussed the exponential stability problem of Cohen-Grossberg Neural Networks (CGNN)model with infinite distributed delays and impulses. By applying Lyapunov-Krasovskii func-tional and linear matrix inequality(LMI)technique,the sufficient condition on the exponential stabil-ity for the considered system was obtained. The numerical example was given to demonstrate the effec-tiveness of the proposed method.关键词
神经网络/分布时滞/脉冲/指数稳定/线性矩阵不等式Key words
neural networks/distributed delay/impulse/exponential stability/linear matrix ine-quality(LMI)分类
数理科学引用本文复制引用
张韬,苏亚坤,朱进..具有分布时滞脉冲 Cohen-Grossberg神经网络的稳定性分析[J].重庆理工大学学报（自然科学版）,2015,(3):134-140,7.基金项目
国家自然科学基金青年基金资助项目 （）
