| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 974760 | Physica A: Statistical Mechanics and its Applications | 2009 | 7 Pages |
Abstract
In this work, the stability issues of the equilibrium points of multi-delayed cellular neural networks with impulsive effects are investigated. Based on the method of linear matrix inequality (LMI) and parameterized first-order model transformation, several new delay-dependent and delay-independent asymptotical stability conditions are derived by the stability theory of Lyapunov–Krasovskii. A numerical example is given to illustrate the effectiveness of our results.
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Dong Li, Dan Yang, Hui Wang, Xiaohong Zhang, Shilong Wang,