摘要
研究了带有离散时滞和分布时滞的BAM神经网络的全局耗散性问题;利用Lyapunov稳定性理论和线性矩阵不等式,通过构造Lyapunov泛函,得到了判定具有时变混合时滞的BAM神经网络系统是全局耗散的新准则;通过实例仿真,表明了所得结论的有效性.
In this paper,we investigate global dissipativity for BAM neural networks with discrete and distribute delays. The Lyapunov stability and the linear matrix inequality（ LMI） approach are employed in our work. By establishing a new Lyapunov functional,we obtain novel criteria for global dissipativity analysis. Some numerical examples are given to illustrate the effectiveness of the proposed method.
出处
《四川师范大学学报（自然科学版）》
CAS
北大核心
2017年第1期11-17,共7页
Journal of Sichuan Normal University（Natural Science）
基金
国家自然科学基金(61273015)
