Exponential Stability of Fuzzy Cellular Neural Networks with Time-Varying Delays and Impulses

In this paper, a generalized model of fuzzy cellular neural networks (FCNNs) with time-varying delays and impulses is formulated and investigated. By employing the delay differential inequality with impulses initial conditions and the M-matrix theory, some new sufficient conditions ensuring the existence, uniqueness and global exponential stability of equilibrium point for FCNNs with time-varying delays and impulses are obtained. In particular, a more precise estimate of exponential convergence rate is provided. An example is given to show the effectiveness of the obtained results.