Abstract
In this paper, we propose new delay independent and dependent H∞ stability conditions for delayed neural networks with external disturbances and norm-bounded uncertainties. These conditions are presented to not only guarantee the asymptotical stability but also reduce the effect of external disturbance to an H∞ norm constraint. The proposed conditions are represented by linear matrix inequalities (LMIs). Optimal H∞ norm bounds are obtained easily by solving convex problems in terms of LMIs. The applicability of these conditions is illustrated by numerical examples.
| Original language | English |
|---|---|
| Pages (from-to) | 1691-1701 |
| Number of pages | 11 |
| Journal | Science China Information Sciences |
| Volume | 54 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 2011 Aug |
| Externally published | Yes |
Keywords
- H analysis
- delayed neural networks
- disturbance
- linear matrix inequality (LMI)
- uncertainty
ASJC Scopus subject areas
- Computer Science(all)