LMI CONDITIONS FOR GLOBAL ASYMPTOTIC STABILITY OF NEURAL NETWORKS WITH DISCRETE AND DISTRIBUTED DELAYS
Libin Xia, Maohui Xia, Lechun Liu · 2008
Abstract. In recently years, the stability of Cellular Neural networks has attracted many researchers, and many different types of neural networks have been widely investi-gated. In this paper, sufficient conditions of stability for a class of neural networks with time-varying delay are developed, which are in terms of linear matrix inequalities (LMIs). An example is given to illustrate the applicability of the theoretic results obtained.