Abstract
This article deals with the problem of robust stability for interval neural networks with time-varying delay. By constructing an appropriate Lyapunov-Krasovskii functional, using the S-procedure and taking the relationship among the time-varying delay, its upper bound and their difference into account, some linear matrix inequality(LMI) -based delay-dependent stability criteria are obtained without ignoring any terms in the derivative of the Lyapunov-Krasovskii functional. Finally, two numerical examples are given to demonstrate the effectiveness and benefits of the proposed method.
Original language | English |
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Pages (from-to) | 345-352 |
Number of pages | 8 |
Journal | IEEJ Transactions on Electrical and Electronic Engineering |
Volume | 6 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2011 Jul |
Keywords
- Interval neural networks
- Lyapunov-Krasovskii functional
- Robust stability
- S-procedure
- Time-varying delay
ASJC Scopus subject areas
- Electrical and Electronic Engineering