On Global Exponential Stability of Discrete-Time Hopfield Neural Networks with Variable Delays
Global exponential stability of a class of discrete-time Hopfield neural networks with variable delays is considered. By making use of a difference inequality, a new global exponential stability result is provided. The result only requires the delay to be bounded. For this reason, the result is mild...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2007-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2007/67675 |
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| Summary: | Global exponential stability of a class of discrete-time Hopfield
neural networks with variable delays is considered. By making use of
a difference inequality, a new global exponential stability result
is provided. The result only requires the delay to be bounded. For
this reason, the result is milder than those presented in the
earlier references. Furthermore, two examples are given to show the
efficiency of our result. |
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| ISSN: | 1026-0226 1607-887X |