Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9877501 | Physica D: Nonlinear Phenomena | 2005 | 11 Pages |
Abstract
In this paper, the stability of neural networks with multiple time-varying delays is studied. A new class of Lyapunov-Krasovskii functionals is constructed and the S-procedure and free-weighting matrix method are employed to derive a delay-dependent stability criterion, from which a delay-independent criterion is obtained as a special case. Moreover, the result is also extended to delay-dependent and rate-independent stability criteria for multiple unknown time-varying delays. Finally, numerical examples are given to illustrate the effectiveness of our methods and improvement over the existing ones.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Yong He, Qing-Guo Wang, Min Wu,