| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10326405 | Neurocomputing | 2016 | 7 Pages |
Abstract
This paper studies synchronization problems of complex dynamical network with mixed coupling via impulsive control. The model involves both advanced and delayed arguments, and the problem of the existence of the model is analyzed. Based on the stability theory for impulsive differential equations, an effective impulsive control scheme is proposed to achieve synchronization for complex dynamical networks. Finally, an example with numerical simulations is given to illustrate our results.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Wenwen Shen, Zhigang Zeng, Shiping Wen,
