变时滞随机Cohen-Grossberg神经网络的指数稳定性的新判据

New Criteria for Exponential Stability of Stochastic Cohen-Grossberg Neural Networks with Time-Varying Delays

通过建立L算子不等式,利用随机分析技巧得到了变时滞随机Cohen-Grossberg神经网络的p-阶矩指数稳定的一个充分条件,并给出实例进行了说明.

A sufficient condition ensuring p-th moment exponential stability of the stochastic Cohen-Gross-berg neural networks with time-varying delays is obtained by establishing an S-operator inequality and using stochastic analysis technique. An example is given to illustrate the efficiency of the obtained results.