Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
412899 | Neurocomputing | 2010 | 7 Pages |
Abstract
This paper considers the global robust exponential stability of time-varying delayed neural networks with discontinuous activation functions and norm-bounded uncertainties. Based on the Lyapunov–Krasovskii stability theory, we originally analyze the global robust exponential stability of discontinuous neural networks with time-varying delays in view of the linear matrix inequalities (LMIs). Therefore, our results are brand new compared to previous literatures. A numerical example is given to validate the effectiveness of our results.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Xiru Wu, Yaonan Wang, Lihong Huang, Yi Zuo,