Exponential stability of impulsive neural networks with time-varying delays and reactiondiffusion terms ?
This paper considers the problems of global exponential stability and exponential convergence rate for impulsive neural networks with time-varying delays and reactiondiffusion terms. By using Lyapunov functions method, some sufficient conditions ensuring global exponential stability of the networks are derived, and the estimated exponential convergence rate is also obtained. A numerical example is given at the end of this paper to demonstrate the effectiveness and applicability of the proposed criteria.
exponential stability impulsive neural networks reactiondiffusion linear matrix inequality