Journal of Mathematical Sciences: Advances and ApplicationsAuthor's: Liping Zhang and Zuoan Li
Pages: [65] - [84]
Received Date: October 6, 2008
Submitted by:
In this paper, a generalized model of Cohen-Grossberg neural networks with time-varying delays is investigated. By employing the nonlinear measure approach, analytic methods, inequality technique and M-matrix theory, some sufficient conditions ensuring the existence, uniqueness and global exponential stability of equilibrium point for Cohen-Grossberg neural networks with time-varying delays are obtained. Two examples are given to show the effectiveness of the obtained results.
Cohen-Grossberg neural networks, global exponential stability, time-varying delays, nonlinear measure.
