A new criterion to global exponential stability for impulsive neural networks with continuously distributed delays

作者：Sun Guanghui; Li Xiaodi^*

来源：Mathematical Methods in the Applied Sciences, 2010, 33(17): 2107-2117.

DOI：10.1002/mma.1322

• impulsive neural networks
• stability
• continuously distributed delays
• impulsive delay differential inequality

This paper considers the global exponential stability and exponential convergence rate of impulsive neural networks with continuously distributed delays in which the state variables on the impulses are related to the unbounded distributed delays. By establishing a new impulsive delay differential inequality, a new criterion concerning global exponential stability for these networks is derived, and the estimated exponential convergence rate is also obtained. The result extends and improves on earlier publications. In addition, two numerical examples are given to illustrate the applicability of the result.

• 出版日期2010-11-30
• 单位山东交通学院; 厦门大学