Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1863554 | Physics Letters A | 2010 | 9 Pages |
Abstract
The problem of stability analysis of neural networks with time-varying delay in a given range is investigated in this Letter. By introducing a new Lyapunov functional which uses the information on the lower bound of the delay sufficiently and an augmented Lyapunov functional which contains some triple-integral terms, some improved delay-dependent stability criteria are derived using the free-weighting matrices method. Numerical examples are presented to illustrate the less conservatism of the obtained results and the effectiveness of the proposed method.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Physics and Astronomy (General)
Authors
Jie Chen, Jian Sun, G.P. Liu, D. Rees,