Robust stability criterion for delayed cellular neural networks with norm-bounded uncertainties

The problem of global stability for a class of uncertain cellular neural networks with time delays has been discussed. The uncertainty is assumed to be of norm-bounded form. A less conservative robust stability condition is derived on the basis of a new Lyapunov-Krasovskii functional in terms of linear matrix inequalities. Two numerical examples are given to illustrate the effectiveness of the proposed method.

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