Robust stability of cellular neural networks with uncertainties and multiple delays: an LMI approach

This paper deals with the robust stability of a class of cellular neural networks (CNNs) with norm-bounded uncertainties and multiple state delays. Applying Lyapunov function method and the properties of the linear matrix inequality, a criterion for the global asymptotic stability and uniqueness of the equilibrium point of uncertain cellular neural networks with multiple delays is presented. The criterion is computationally efficient, since it depends on the solution of a linear matrix inequality.