Global exponential stability of a class of neural networks with unbounded delays
AbstractIn 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.
How to Cite
Duong, A. T., and T. L. Tran. “Global Exponential Stability of a Class of Neural Networks With Unbounded Delays”. Ukrains’kyi Matematychnyi Zhurnal, Vol. 60, no. 10, Oct. 2008, pp. 1401–1413, https://umj.imath.kiev.ua/index.php/umj/article/view/3254.