Article ID Journal Published Year Pages File Type
6420546 Applied Mathematics and Computation 2015 8 Pages PDF
Abstract

This paper investigates the problem of the exponential stability for a class of neural networks with time-varying delay. A triple integral term and a term considering the delay information in a new way are introduced to the Lyapunov-Krasovskii functional (LKF). The obtained criterion show advantages over the existing ones since not only a novel LKF is constructed but also several techniques such as Wirtinger-based inequality and convex combination technique are used to estimate the upper bound of the derivative of the LKF. Finally, a numerical example is provided to verify the effectiveness and benefit of the proposed criterion.

Related Topics
Physical Sciences and Engineering Mathematics Applied Mathematics
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