Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1893509 | Chaos, Solitons & Fractals | 2009 | 7 Pages |
Abstract
In this paper, problem of robust stability of uncertain neural networks with interval time-varying delays has been investigated. The delay factor is assumed to be time-varying and belongs to a given interval, which means that the lower and upper bounds of the interval time-varying delays are available. Based on the Lyapunov–Krasovskii functional approach, a new delay-dependent stability criteria is presented in terms of linear matrix inequalities (LMIs). Two numerical examples are given to illustrate the effectiveness of the proposed method.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Statistical and Nonlinear Physics
Authors
Jiqing Qiu, Hongjiu Yang, Jinhui Zhang, Zhifeng Gao,