Synchronization of Impulsive Fuzzy Cellular Neural Networks with Parameter Mismatches

In this paper, we study the effect of parameter mismatches on the fuzzy neural networks with impulses. Since it is impossible to make two non-identical neural networks complete synchronized, we study the synchronization of two neural networks in terms of quasi-synchronization. Using Lyapunov method and linear matrix inequality method, we obtain a sufficient condition for a global synchronization error bound of the two neural networks.