Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6421548 | Applied Mathematics and Computation | 2013 | 14 Pages |
Abstract
The problem of delay-dependent exponential passivity analysis is investigated for BAM neural networks with time-varying delays. By establishing a suitable augmented Lyapunov-Krasovskii function and a novel sufficient condition is obtained to guarantee the exponential stability of the considered system. The several exponential stability criterion proposed in this paper is simpler and effective. A numerical example is provided to demonstrate the feasibility and effectiveness of our results.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Yuanhua Du, Shouming Zhong, Nan Zhou, Lei Nie, Wenqin Wang,