Global exponential stability analysis for a class of neural networks with time delays
Yingxin Guo, Shu Tang Liu · International Journal of Robust and Nonlinear Control · 2011
SUMMARY Employing Brouwer's fixed point theorem, matrix theory, we made a further investigation of a class of neural networks with delays in this paper. A family of sufficient conditions were given for checking global exponential stability. These results have important leading significance in the design and applications of globally stable neural networks with delays. Our results extended and improved some earlier publications. Copyright © 2011 John Wiley & Sons, Ltd.