Finite Time Synchronization For Delayed Fuzzy Inertial Cellular Neural Networks

This paper focuses on the finite-time synchronization for a class of fuzzy inertial cellular neural networks (FICNNs) with time-varying delays. First, by constructing a proper variable substitution, the original FICNNs with time-varying delays can be rewritten as first-order differential system. Second, based on Lyapunov functionals, we derive some new and sufficient conditions of finite-time synchronization for the addressed system. We illustrate the effectiveness of the approach through a few examples.