Abstract
In this paper, the input/output-to-state stability (IOSS) concept is used to derive new stability conditions for switched Hopfield neural networks. Based on matrix norm and linear matrix inequality (LMI), the proposed stability conditions ensure input/outputto- state stability for external input vector. We also present the conditions for asymptotic stability of switched Hopfield neural networks without external input vector.
| Original language | English |
|---|---|
| Pages (from-to) | 71-78 |
| Number of pages | 8 |
| Journal | Communications on Applied Nonlinear Analysis |
| Volume | 19 |
| Issue number | 1 |
| Publication status | Published - 2012 |
| Externally published | Yes |
Keywords
- Input/output-to-state stability (IOSS)
- Linear matrix inequality (LMI)
- Switched Hopfield neural networks
ASJC Scopus subject areas
- Analysis
- Applied Mathematics