| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1713192 | Journal of Systems Engineering and Electronics | 2007 | 4 Pages |
Abstract
A new sufficient conditions for the global exponential stability of the equilibrium point for delayed cellular neural networks (DCNNs) is presented. It is shown that the use of a more general type of Lyapunov-Krasovskii function enables the derivation of new results for an exponential stability of the equilibrium point for DCNNs. The results establish a relation between the delay time and the parameters of the network. The results are also compared with one of the most recent results derived in the literature.
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Liu Deyou, Zhang Jianhua, Guan Xinping,