Abstract
This paper is concerned with the problem of stability analysis for neural networks with time-varying delays. By constructing a newly augmented Lyapunov functional and some novel techniques, delay-dependent criteria to guarantee the asymptotic stability of the concerned networks are derived in terms of linear matrix inequalities (LMIs). The improvement of feasible region of the proposed criteria comparing with the previous works is shown by two numerical examples.
| Original language | English |
|---|---|
| Pages (from-to) | 221-236 |
| Number of pages | 16 |
| Journal | Nonlinear Dynamics |
| Volume | 76 |
| Issue number | 1 |
| DOIs | |
| State | Published - Apr 2014 |
Keywords
- Asymptotic stability
- Lyapunov method
- Neural networks
- Time-varying delays
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