Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
413000 | Neurocomputing | 2009 | 5 Pages |
Abstract
In this paper, a cellular neural network whose state variables are governed by stochastic non-linear integro-differential equations is investigated. The considered delays are distributed continuously over unbounded intervals. By applying the Lyapunov functional method, the semimartingale convergence theorem, and some inequality technique, we obtain some sufficient criteria to check the almost sure exponential stability of the system, which generalizes and improves some earlier publications. Two examples are also given to demonstrate our results.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Chuangxia Huang, Jinde Cao,