Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9653429 | Neurocomputing | 2005 | 7 Pages |
Abstract
The robust stability of neural networks with time-varying delay and parametric uncertainties is considered here. The stability condition is given in terms of a linear matrix inequality (LMI). Numerical example is given to demonstrate the effectiveness of our theoretical results.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Hongbin Zhang, Xiaofeng Liao,