Abstract
The stability for cellular neural networks (CNNs) with time-varying delay is introduced by linear-matrix inequality. A sufficient condition related to the global asymptotic stability for delay CNNs is proposed. It is shown that the condition relies on the dependence of the delay. This condition is less restrictive than that given in the literature.
| Original language | English |
|---|---|
| Pages (from-to) | 677-679 |
| Number of pages | 3 |
| Journal | IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications |
| Volume | 50 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2003 May 1 |
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
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Cite this
Yu, G. J., Lu, C. Y., Tsai, J. S. H., Liu, B. D., & Su, T. J. (2003). Stability of cellular neural networks with time-varying delay. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 50(5), 677-679. https://doi.org/10.1109/TCSI.2003.811031