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Delay-dependent exponential stability of neural networks with variable delays
- Source :
-
Physics Letters A . Jun2004, Vol. 326 Issue 5/6, p355-363. 9p. - Publication Year :
- 2004
-
Abstract
- In this Letter, a thorough analysis of existence, uniqueness and globally exponential stability of the equilibrium point of neural networks with variable delays is presented. By applying <f>M</f>-matrix theory and some new analysis techniques, a new delay-dependent sufficient condition for global exponential stability is derived. The criteria obtained in this Letter extend and improve the existing ones, and a numerical example illustrate the effectiveness of our results. [Copyright &y& Elsevier]
- Subjects :
- *ARTIFICIAL neural networks
*ARTIFICIAL intelligence
*COGNITIVE science
*LETTERS
Subjects
Details
- Language :
- English
- ISSN :
- 03759601
- Volume :
- 326
- Issue :
- 5/6
- Database :
- Academic Search Index
- Journal :
- Physics Letters A
- Publication Type :
- Academic Journal
- Accession number :
- 13291244
- Full Text :
- https://doi.org/10.1016/j.physleta.2004.04.058