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In this paper, we study the global dissipativity for Cohen-Grossberg neural networks with both time-varying delays and infinite distributed delays. Based on Lyapunov functions, mean value theorem and inequality techniques, several algebraic criterions for the global dissipativity are obtained. Meanwhile, the estimations of the positive invariant set and globally attractive set are given out. Finally,...
The global stability of Cohen-Grossberg neural networks with time-varying delay is investigated and a delay-dependent stability criterion is obtained in terms of LMI by choosing a novel Lyapunov-Krasovskii functional, introducing the equivalent descriptor form of addressed systems and employing some free-weighting matrices. The derivative of the time-varying delay has an upper limitation but not necessarily...
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