IMPULSIVE STABILIZATION OF CELLULAR NEURAL NETWORKS WITH TIME DELAY VIA LYAPUNOV FUNCTIONALS
Qing Wang, Xinzhi Liu · The Journal of Nonlinear Sciences and Applications · 2008
This paper investigates the problem of global exponential stability for a class of impulsive cellular neural networks with time delay. By employing Lyapunov functionals, some sufficient conditions for exponential stability are established. Our results show that unstable cellular neural networks with time delay may be stabilized by impulses, where the upper bound of the amplitudes of the impulses is given. Numerical simulations on two examples are given to illustrate our results.