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.
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Published in Ukrains’kyi Matematychnyi Zhurnal, Vol. 60, No. 10, pp. 1401–1413, October, 2008.
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Loan, T.T., Tuan, D.A. Global exponential stability of a class of neural networks with unbounded delays. Ukr Math J 60, 1633–1649 (2008). https://doi.org/10.1007/s11253-009-0155-7
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DOI: https://doi.org/10.1007/s11253-009-0155-7