Periodic Solutions and Exponential Stability of a Class of Neural Networks with Time-Varying Delays
Employing fixed point theorem, we make a further investigation of a class of neural networks with delays in this paper. A family of sufficient conditions is given for checking global exponential stability. These results have important leading significance in the design and applications of globally s...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2009-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2009/415786 |
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| Summary: | Employing fixed point theorem, we make a further investigation of a class of
neural networks with delays in this paper. A family of sufficient conditions is given for
checking global exponential stability. These results have important leading significance in
the design and applications of globally stable neural networks with delays. Our results
extend and improve some earlier publications. |
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| ISSN: | 1026-0226 1607-887X |