Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4948218 | Neurocomputing | 2017 | 35 Pages |
Abstract
This paper investigates issues of finite-time topological identification and stochastic synchronization for two complex networks with multiple time delays. In the paper, we propose two different approaches to identify the topological structure and guarantee stochastic synchronization for complex networks in finite time, which are achieved based on finite-time stability theory and properties of Wiener process. Several useful finite-time synchronization and identification criteria are obtained simultaneously based on adaptive feedback control method. In the final section, numerical examples are examined to illustrate the effectiveness of the analytical results.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Hui Zhao, Lixiang Li, Haipeng Peng, Jinghua Xiao, Yixian Yang, Mingwen Zheng,