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- Title
A NOVEL GLOBAL EXPONENTIAL STABILITY RESULT FOR DISCRETE-TIME CELLULAR NEURAL NETWORKS WITH VARIABLE DELAYS.
- Authors
ZHANG, QIANG; WEI, XIAOPENG; XU, JIN
- Abstract
Global exponential stability is considered for a class of discrete-time cellular neural networks with variable delays. By employing a discrete Halanay inequality, a new result is presented ensuring global exponential stability of the unique equilibrium point of the networks. The result extends and improves the earlier publications due to the fact that it removes some restrictions on the delay. An example is given to illustrate the effectiveness of the global exponential stability condition provided here.
- Subjects
ARTIFICIAL neural networks; MATHEMATICAL inequalities; ARTIFICIAL intelligence; INFINITE processes; MATHEMATICS
- Publication
International Journal of Neural Systems, 2006, Vol 16, Issue 6, p467
- ISSN
0129-0657
- Publication type
Article
- DOI
10.1142/S012906570600086X