一类时滞神经网络的鲁棒稳定性分析  

Robust Stability Analysis for a Class of Delayed Neural Networks

作　　者：田彦伟[1] 

机构地区：[1]安阳师范学院数学科学学院,河南安阳455002

出　　处：《安阳师范学院学报》2008年第5期13-16,共4页Journal of Anyang Normal University

摘　　要：针对一类含有时变时滞和参数不确定性的神经网络,研究了它的鲁棒稳定性.利用线性矩阵不等式(LMI)方法,得到一个新的时滞依赖的结论,结论以线性矩阵不等式的形式给出,便于直接应用.最后的数值例子说明了所得结论的有效性和优越性.In this paper, the robust stability analysis problem is - varying delay and parameter uncertainties. By employing the laydependent result is obtained, and the result is in terms of directly. Finally, a numerical example is given to indicate the considered for a class of neural networks with time linear matrix inequality（LMI） method, the new delinear matrix inequality, which is convenient to use effectiveness and benefits of the obtained result.

关 键 词：鲁棒稳定 神经网络 时变时滞 线性矩阵不等式 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]