LMI CONDITIONS FOR GLOBAL ASYMPTOTIC STABILITY OF NEURAL NETWORKS WITH DISCRETE AND DISTRIBUTED DELAYS

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.

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