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.

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