Mean square exponential stability in high-order stochastic impulsive BAM neural networks with time-varying delays

作者：Cu Haibo^*

来源：Neurocomputing, 2011, 74(5): 720-729.

DOI：10.1016/j.neucom.2010.09.011

• High-order BAM neural networks
• Impulsive
• Stochastic
• Equilibrium point
• Mean square stability
• LMI method
• Lyapunov functional

In this paper, a class of stochastic impulsive high-order BAM neural networks with time-varying delays is considered. By using Lyapunov functional method, LMI method and mathematics induction, some sufficient conditions are derived for the globally exponential stability of the equilibrium point of the neural networks in mean square. It is believed that these results are significant and useful for the design and applications of impulsive stochastic high-order BAM neural networks.

• 出版日期2011-2
• 单位新疆师范大学