具时滞的Hopfield网络周期解的指数稳定性
The paper is devoted to periodic attractor of delayed Hopfield neural networks with time-varying.By constructing Lyapunov functionals and using inequality techniques,some new sufficient criteria are obtained to guarantee the existence and global exponential stability of periodic attractor.Our results improve and extend some existing ones in[13～14].One example is also worked out to demonstrate the advantages of our results.
作 者： 向红军 王金华 XIANG Hong-jun WANG Jin-hua 作者单位： Department of Mathematics,Xiangnan University,Chenzhou 423000,China 刊 名： 数学季刊（英文版） ISTIC PKU 英文刊名： CHINESE QUARTERLY JOURNAL OF MATHEMATICS 年，卷(期)： 2008 23(2) 分类号： O175.7 关键词： Hopfield neural networks global exponential stability Lyapunov functional periodic solution