Abstract
This paper presents new theoretical results on global stability of a class of second-order interval Cohen-Grossberg neural networks. The new criteria is derived to ensure the existence, uniqueness and global stability of the equilibrium point of neural networks under uncertainties. And we make some comparisons between our results with the existed corresponding results. Some examples are provided to show the effectiveness of the obtained results.
| Original language | English |
|---|---|
| Pages (from-to) | 2747-2757 |
| Number of pages | 11 |
| Journal | Communications in Nonlinear Science and Numerical Simulation |
| Volume | 19 |
| Issue number | 8 |
| DOIs | |
| State | Published - Aug 2014 |
| Externally published | Yes |
Keywords
- Global robust stability
- Homomorphic mapping theorem
- Lyapunov functional method
- Second-order interval Cohen-Grossberg neural networks
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