摘要
研究了一类具有时变时滞的神经网络的稳定性,首先将要研究的模型转化为数学系统模型,利用Lyapunov-Krasovskii稳定性理论和线性矩阵不等式技术(LMI方法),精炼和推广了一些已有的结果,所得结果为时变时滞神经网络提供了新的稳定性判定准则.
The paper focuses on researching the stability of time-varying-delay neural network system.It transforms the research model into mathematical systemic model, and then, makes use of Lyapunov-Krasovskii and LMIs to simplify and extends some existing research achievement. The results can provide new stability criterions for the time-varying-delay neural network.
出处
《数学的实践与认识》
CSCD
北大核心
2014年第17期292-300,共9页
Mathematics in Practice and Theory
基金
四川省教育厅资助项目(132B0327)
