Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10734857 | Chaos, Solitons & Fractals | 2005 | 4 Pages |
Abstract
The robust stability of neural networks with time-varying delay and time-varying parametric uncertainties is considered. The stability condition is given in terms of linear matrix inequality (LMI). Numerical example is presented to demonstrate the effectiveness of our theoretical results.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Statistical and Nonlinear Physics
Authors
Hongbin Zhang, Chunguang Li, Xiaofeng Liao,