Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6865822 | Neurocomputing | 2015 | 19 Pages |
Abstract
This paper studies a novel class of feedback control systems of impulsive fractional differential equations on networks (FCSIFDENs). By combining some graph theory and the Lyapunov method, we provide a systematic method for constructing a global Lyapunov function for FCSIFDENs. Consequently, a new global asymptotic stability principle and a new global Mittag-Leffler stability principle, which have a close relation to the topology property of the network, are given. Finally, numerical examples are given to demonstrate the effectiveness of the theoretical results.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Hong-Li Li, Yao-Lin Jiang, Zuo-Lei Wang, Cheng Hu,