Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4974039 | Journal of the Franklin Institute | 2017 | 12 Pages |
Abstract
This paper investigates a stochastic impulsive coupling protocol for synchronization of linear dynamical networks based on discrete-time sampled-data. The convergence of the networks under the proposed protocol is discussed, and some sufficient conditions are showed to guarantee almost sure exponential synchronization. Moreover, this coupling protocol with a pinning control scheme is developed to lead the state of all nodes to almost sure exponentially converge to a virtual synchronization target. It is shown that the almost sure exponential synchronization can be achieved by only interacting based on the stochastic feedback information at discrete-time instants. Some numerical examples are finally provided to present the effectiveness of the proposed stochastic coupling protocols.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Jingyi Wang, Jianwen Feng, Chen Xu, Yi Zhao, Michael Z.Q. Chen,