Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5499772 | Chaos, Solitons & Fractals | 2017 | 5 Pages |
Abstract
This paper investigates the attractor of Hopfield neural networks with time-varying delays. By using Lyapunov-Krasovskii functional as well as linear matrix inequality, some novel delay-dependent sufficient conditions are derived to ensure the existence of pullback attractor of the considered networks. The constraint that the derivative function of the delay function is less than 1 is removed. Finally, two examples are given to demonstrate the effectiveness of our theoretical result.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Statistical and Nonlinear Physics
Authors
Li Wan, Qinghua Zhou, Jie Liu,