Global Exponential Stability for a Class of Neural Networks with Continuously Distributed Delays
Lizi Yin, Yuehui Chen, Yaou Zhao · 2009
In this paper, the global exponential stability and exponential convergence rate of neural networks with discrete and continuously distributed delays is investi-gated. By establishing a new delay differential inequality, some sufficient condi-tions for ensuring global exponential stability of these networks are derived, and the estimated exponential convergence rate is also obtained. Finally, an example is also provided to illustrate the applicability of the result. AMS Subject Classifications: 34A37, 92B20.