Global exponential stability for a class of impulsive BAM neural networks with distributed delays
Ivanka Stamova, Gani Tr. Stamov, Jehad Alzabut · Applied Mathematics & Information Sciences · 2013
In this paper, the exponential stability is investigated for a class of BAM neur al networks with distributed delays and nonlinear impulsive operators. By using Lyapunov functions and applying the Razumikhin technique, delay-independent sufficient conditions ensuring the global exponential stability of equilibrium points are d erived. These results can easily be utilized to design and verify globally stable networks. An illustrative example is given to demonstr ate the effectiveness of the obtained results.