具有S-分布时滞BAM神经网络的全局指数稳定性

Global Exponential Stability of BAM Neural Networks with S-type Distributed Delays

研究一类S-分布时滞BAM神经网络的稳定性问题.通过构造恰当的Lebesgue-Stieltjes积分型Lyapunov泛函,并结合Schwartz不等式和一些分析技巧,得到了系统全局指数稳定的充分条件,最后给出了主要定理的一个实例,表明结论的有效性.

Investigate the stability of BAM neural networks with S-type distributed delays. By constructing suitable Lyapunov functional with Lebesgue-Stieljes integration, applying the Schwartz inequality and some analysis techniques, some sufficient conditions are derived for the global exponential stability of BAM neural networks with S-type distributed delay. In the end, an example is given to illustrate the effectiveness of our main theoretical results.