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 |
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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 |
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