摘要
研究了一类含有分布时滞的神经网络的渐近稳定性问题.利用线性矩阵不等式(LMI)方法,并且引入适当的自由权矩阵,得到了一个新的时滞依赖的稳定性判据,所得判据是以线性矩阵不等式的形式给出,便于直接应用.最后给出的数值例子说明了所得结论的有效性和优越性.
In this paper, the asymptotical stability problem is considered for a class of neural networks with distributed delay. By employing the linear matrix inequality (LMI) method and some appropriate free-weight matrices, anew delay-dependent criterion is obtained, and the result is in terms of linear matrix inequality, which is convenient to use directly. Finally, a numerical example is given to indicate effectiveness and benefits of the obtained result.
出处
《贵州师范大学学报(自然科学版)》
CAS
2009年第2期87-90,共4页
Journal of Guizhou Normal University:Natural Sciences
关键词
渐近稳定
神经网络
分布时滞
线性矩阵不等式
asymptotical stability
neural networks
distrtibuted delay
linear matrix inequality