Stability of Cohen-Grossberg-type Fuzzy Cellular Neural Networks with Distributed Delays and Impulses
Kelin Li, Jinming Liang · 2009
In this paper, a generalized model of Cohen-Grossberg-type fuzzy cellular neural networks (FCNNs) with distributed delays and impulses is formulated and investigated. By employing the delay differential inequality with impulses initial conditions and the M-matrix theory, some sufficient conditions ensuring the existence, uniqueness and global exponential stability of equilibrium point for Cohen-Grossberg-type FCNNs with distributed delays and impulses are obtained. In particular, more precise estimate of exponential convergence rate is provided. An example are given to show the effectiveness of the obtained results.