Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6864783 | Neurocomputing | 2018 | 37 Pages |
Abstract
In this paper, the problem of event-triggered output feedback synchronization control for complex dynamical networks (CDN) is studied. Based on a distributed state observer, a novel event-triggered mechanism is firstly introduced to design the output feedback synchronization controller, and by applying a useful graph theoretical result, the asymptotic convergence of the synchronization errors is then guaranteed. Moreover, it is proved that the designed event-triggered synchronization method is also valid for the CDNs with time-varying coupling weights. In particular, the proposed method is an extension of the existing state feedback event-triggered synchronization results. Finally, the circuit realizations for the new event-triggered mechanism and control approach are given, and the effectiveness of the proposed scheme is illustrated through the simulation results.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Chong-Xiao Shi, Guang-Hong Yang, Xiao-Jian Li,