The stability of delays BAM neural networks with Variable-time and poisson arrival impulses
Zhongwen Li, Biwen Li, Guang Wu · 2011
In this paper, we consider the globally stability of BAM neural networks with time delays and Random Variable-time Impulses (RVI). RVI denotes the impulses occurring follow Poisson Arrival in time, instead of fixed instants. Under this assumption, the time interval between two successive impulses follows exponential distribution with arrival rate. By simulation, we found that the system will be more stability as the arrival rate gets smaller. Numerical examples are also given to illustrate the effective of our results.