New global robust stability results for delayed cellular neural networks based on norm-bounded uncertainties

A new linear matrix inequality based approach to the uniqueness and global asymptotic stability of the equilibrium point of uncertain cellular neural networks with delay is presented. The uncertainties are assumed to be norm-bounded. A new type of Lyapunov–Krasovskii functional is employed to derive the result.