Global exponential stability analysis for cellular neural networks with variable coefficients and delays
Some sufficient conditions for the global exponential stability of cellular neural networks with variable coefficients and time-varying delays are obtained by a method based on a delayed differential inequality. The method, which does not make use of Lyapunov functionals, is simple and effective for the stability analysis of cellular neural networks with variable coefficients and time-varying delays. Some previous results in the literature are shown to be special cases of our results.
global exponential stability cellular neural networks variable coefficients delays 46g05 37f99