Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4632319 | Applied Mathematics and Computation | 2010 | 11 Pages |
Abstract
In this paper, the problems of robust global exponential synchronization for a class of complex networks with time-varying delayed couplings are considered. Each node in the network is composed of a class of delayed neural networks described by a nonlinear delay differential equation of neutral-type. Since model errors commonly exist in practical applications, the parameter uncertainties are involved in the considered model. Sufficient conditions that ensure the complex networks to be robustly globally exponentially synchronized are obtained by using the Lyapunov functional method and some properties of Kronecker product. An illustrative example is presented to show the effectiveness of the proposed approach.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Yijun Zhang, Shengyuan Xu, Yuming Chu, Jinjun Lu,