Global exponential convergence of fuzzy cellular neural networks with proportional delays and impulsive effects
Changjin Xu · Journal of Intelligent & Fuzzy Systems · 2017
In this paper, a class of fuzzy cellular neural networks (FCNNs) with proportional delays and impulsive effects are discussed. With the help of the differential inequality theory, a set of sufficient criteria which ensure the global exponential convergence of the fuzzy cellular neural networks with proportional delays and impulsive effects are established. Numerical simulations are conducted to test our theoretical analysis. The results achieved are new and complement some existing works.