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

  • Anh Tuan Duong
  • Thi Loan Tran

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.
Published
25.10.2008
How to Cite
DuongA. T., and TranT. L. “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.
Section
Research articles