应用数学和力学2017，Vol.38Issue(10)：1180-1186,7.DOI:10.21656/1000-0887.370378
带有变化分布时滞的复值神经网络Lagrange稳定性
Lagrangian Stability of Complex-Valued Neural Networks With Distributed Time-Varying Delays
摘要
Abstract
The Lagrangian stability of complex-valued neural networks with distributed time-va-rying delays was investigated. By means of the Lyapunov-Krasovskii functional and the matrix inequality techniques, a delay-dependent sufficient condition was obtained to ensure the global exponential stability in a Lagrangian sense for the considered neural networks. The condition is expressed in the form of complex-valued linear matrix inequality, which can be checked numer-ically with the effective YALMIP toolbox in MATLAB.关键词
复值神经网络/变化分布时滞/Lagrange稳定性/复值线性矩阵不等式Key words
complex-valued neural network/distributed time-varying delay/Lagrangian stabili-ty/complex-valued linear matrix inequality分类
数理科学引用本文复制引用
张磊,宋乾坤..带有变化分布时滞的复值神经网络Lagrange稳定性[J].应用数学和力学,2017,38(10):1180-1186,7.基金项目
国家自然科学基金(61773004) （61773004）
重庆高校创新团队建设计划(CXTDX201601022) The National Natural Science Foundation of China(61773004) （CXTDX201601022）
