| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6863682 | Neurocomputing | 2018 | 17 Pages |
Abstract
In this paper, based on the discrete-time delayed impulsive system theory, exponential synchronization of discrete-time complex networks with both time-varying delays and stochastic disturbances is investigated. By applying an iterative Lyapunov function in combination with the linear matrix inequality (LMI) technique, a new synchronization criterion based on topology matrices and impulsive conditions is developed. Some numerical simulations are provided to verify the theoretical results.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Qunjiao Zhang, Guanrong Chen, Li Wan,