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

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.