Abstract
This paper considers the existence of the equilibrium point and its global exponential robust stability for reaction-diffusion interval neural networks with variable coefficients and distributed delays by means of the topological degree theory and Lyapunov-functional method. The sufficient conditions on global exponential robust stability established in this paper are easily verifiable. An example is presented to demonstrate the effectiveness and efficiency of our results.
| Original language | English |
|---|---|
| Pages (from-to) | 867-873 |
| Number of pages | 7 |
| Journal | Neural Computing and Applications |
| Volume | 19 |
| Issue number | 6 |
| DOIs | |
| State | Published - 2010 |
| Externally published | Yes |
Keywords
- Distributed delays
- Global exponential robust stability
- Interval neural networks
- Reaction-diffusion
- Variable coefficients
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