Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
409902 | Neurocomputing | 2012 | 8 Pages |
Abstract
This study is concerned with the problem of robust stability of uncertain genetic regulatory networks with time-varying delays. The parameter uncertainties are modeled as having a structured linear fractional form. By choosing an augmented novel Lyapunov–Krasovskii functional which contains some triple integral terms and using the lower bound lemma rather than the Jensen inequality lemma, less conservative condition are obtained. What's more, the criteria can be applicable to both fast and slow time-varying delays. Finally, two numerical examples are presented to illustrate the effectiveness of the theoretical results.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Wenqin Wang, Shouming Zhong, Feng Liu,