Improved global robust delay-dependent stability criteria for delayed cellular neural networks.

This paper is concerned with the global robust asymptotical stability for a class of cellular neural networks with time-varying delays and parameter uncertainties. By using the Lyapunov-Krasovskii functional method and employing the convexity of the matrix equation, some new stability criteria are derived, which are expressed by a set of linear matrix inequalities. To show the effectiveness and less conservatism of our method, two numerical examples are presented finally. [ABSTRACT FROM AUTHOR]