Global exponential stability of a class of neural networks with unbounded delays
In this paper, the global exponential stability of a class of neural networks is investigated. The neural networks contain variable and unbounded delays. By constructing a suitable Lyapunov function and using the technique of matrix analysis, some new sufficient conditions on the global exponentia...
Збережено в:
| Дата: | 2008 |
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| Автори: | , |
| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
Інститут математики НАН України
2008
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| Назва видання: | Український математичний журнал |
| Теми: | |
| Онлайн доступ: | http://dspace.nbuv.gov.ua/handle/123456789/164766 |
| Теги: |
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| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Цитувати: | Global exponential stability of a class of neural networks with unbounded delays / Tran Thi Loan, Duong Anh Tuan // Український математичний журнал. — 2008. — Т. 60, № 10. — С. 1401–1413. — Бібліогр.: 15 назв. — англ. |
Репозитарії
Digital Library of Periodicals of National Academy of Sciences of Ukraine| Резюме: | In this paper, the global exponential stability of a class of neural networks is investigated. The neural
networks contain variable and unbounded delays. By constructing a suitable Lyapunov function and
using the technique of matrix analysis, some new sufficient conditions on the global exponential stability
are obtained. |
|---|