Abstract
The robust exponential stability problem for a class of uncertain fuzzy stochastic neutral neural networks systems with mixed delays is concerned about. Based on the Lyapunov functional and the stochastic stability theory, the sufficient conditions are developed in terms of linear matrix inequalities (LMIs). Examples and simulations are provided to illustrate the effectiveness and the less conservatism of the proposed method.
| Original language | English |
|---|---|
| Pages (from-to) | 615-627 |
| Number of pages | 13 |
| Journal | International Journal of Innovative Computing, Information and Control |
| Volume | 14 |
| Issue number | 2 |
| State | Published - 1 Apr 2018 |
| Externally published | Yes |
Keywords
- Linear matrix inequality (LMI)
- Mixed time-varying delays
- Robust exponential stability
- Stochastic neutral neural networks