2017
Том 69
№ 9

All Issues

Global exponential stability of a class of neural networks with unbounded delays

Duong Anh Tuan, Tran Thi Loan

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Abstract

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, we obtain some new sufficient conditions for global exponential stability.

English version (Springer): Ukrainian Mathematical Journal 60 (2008), no. 10, pp 1633-1649.

Citation Example: Duong Anh Tuan, Tran Thi Loan Global exponential stability of a class of neural networks with unbounded delays // Ukr. Mat. Zh. - 2008. - 60, № 10. - pp. 1401–1413.

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