Abstract
In this paper, new stability criteria are derived for Takagi-Sugeno (T-S) fuzzy Hopfield neural networks via the input/output-to-state stability (IOSS) approach. Based on matrix norm and linear matrix inequality (LMI), these stability criteria guarantee input/output-to-state stability for external input vector. Moreover, the criteria for asymptotic stability of T-S fuzzy Hopfield neural networks without external input vector are presented.
| Original language | English |
|---|---|
| Pages (from-to) | 237-246 |
| Number of pages | 10 |
| Journal | International Journal of Pure and Applied Mathematics |
| Volume | 75 |
| Issue number | 2 |
| Publication status | Published - 2012 Mar 12 |
| Externally published | Yes |
Keywords
- Input/output-to-state stability (IOSS)
- Linear matrix inequality (LMI)
- Takagi-Sugeno (T-S) fuzzy Hopfield neural networks
ASJC Scopus subject areas
- Mathematics(all)
- Applied Mathematics