摘要
研究了一类高阶变时滞BAM型神经网络在有限时间内的同步问题.通过李雅普诺夫函数、有限时间内稳定性理论和一些不等式方法,在恰当的外部输入条件控制下,基于p-范数得到了新的高阶BAM神经网络在有限时间内同步的充分条件.同时,通过数值例子说明了本文结论的有效性.
The high order time varying delays BAM neural networks in finite time synchronization was investigated. By use of Lyapunov function method, finite time stability theory and some inequality methods, some new and useful sufficient conditions on the high-order BAM neural networks in finite time synchronization are obtained based on p-norm under the appropriate external input conditions.
作者
蒲浩
王来全
刘衍民
刘向虎
PU Hao;WANG Lai-quan;LIU Yan-min;LIU Xiang-hu(School of Mathematics, Zunyi Normal College, Zunyi 563006, China;Department of Foundation, Changji Vocational and Technical College, Changji 831100, China)
出处
《中北大学学报（自然科学版）》
北大核心
2017年第6期563-568,581,共7页
Journal of North University of China(Natural Science Edition)
基金
国家自然科学基金资助项目(71461027)
贵州省科技计划课题(黔科合LH字[2015]7053号)
关键词
高阶BAM神经网络
变时滞
p-范数
有限时间内同步
high order BAM neural network
time-varying delays
p-norm
finite-time synchronization
