Abstract
This paper deals with the problem of passivity analysis for neural networks with time-varying delay, which is subject to norm-bounded time-varying parameter uncertainties. The activation functions are supposed to be bounded and globally Lipschitz continuous. Delay-dependent passivity condition is proposed by using the free-weighting matrix approach. These passivity conditions are obtained in terms of linear matrix inequalities, which can be investigated easily by using standard algorithms. Two illustrative examples are provided to demonstrate the effectiveness of the proposed criteria.
| Original language | English |
|---|---|
| Pages (from-to) | 237-246 |
| Number of pages | 10 |
| Journal | Neural Processing Letters |
| Volume | 27 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2008 Jun 1 |
All Science Journal Classification (ASJC) codes
- Software
- Neuroscience(all)
- Computer Networks and Communications
- Artificial Intelligence
Fingerprint Dive into the research topics of 'A delay-dependent approach to passivity analysis for uncertain neural networks with time-varying Delayd'. Together they form a unique fingerprint.
Cite this
Lu, C-Y., Tsai, H. H., Su, T. J., Tsai, J. S. H., & Liao, C-W. (2008). A delay-dependent approach to passivity analysis for uncertain neural networks with time-varying Delayd. Neural Processing Letters, 27(3), 237-246. https://doi.org/10.1007/s11063-008-9072-2